GLMM Surface Rate of Spread
Rate of Spread Model Comparison
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: S_ROS ~ Status
## Data: fb (Number of observations: 1458)
## Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup draws = 4000
##
## Regression Coefficients:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 2.48 0.04 2.39 2.56 1.00 4405 3013
## StatusInvaded 0.75 0.06 0.63 0.87 1.00 3866 2884
##
## Further Distributional Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.14 0.02 1.10 1.19 1.00 4515 2790
## nu 59.95 19.15 30.41 104.53 1.00 4268 3232
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## Using 10 posterior draws for ppc type 'dens_overlay' by default.
Surface Rate of Spread Table
## # A tibble: 2 × 9
## Parameter Estimate `Est. Error` `95% CI (Lower)` `95% CI (Upper)`
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 Intercept 2.48 0.0431 2.39 2.56
## 2 Status-Invaded 0.753 0.0603 0.633 0.871
## # ℹ 4 more variables: `Probability > 0` <dbl>, `Bulk ESS` <dbl>,
## # `Tail ESS` <dbl>, `R-hat` <dbl>
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## <thead>
## <tr class="gt_heading">
## <td colspan="9" class="gt_heading gt_title gt_font_normal gt_bottom_border" style>Posterior Estimates for Surface Rate of Spread</td>
## </tr>
##
## <tr class="gt_col_headings">
## <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col" id="a::stub"></th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Estimate">Estimate</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Est.-Error">Est. Error</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Lower)">95% CI (Lower)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Upper)">95% CI (Upper)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Probability->-0">Probability > 0</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Bulk-ESS">Bulk ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Tail-ESS">Tail ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="R-hat">R-hat</th>
## </tr>
## </thead>
## <tbody class="gt_table_body">
## <tr><th id="stub_1_1" scope="row" class="gt_row gt_center gt_stub">Intercept</th>
## <td headers="stub_1_1 Estimate" class="gt_row gt_right" style="font-weight: bold;">2.48</td>
## <td headers="stub_1_1 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.04</td>
## <td headers="stub_1_1 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">2.39</td>
## <td headers="stub_1_1 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">2.56</td>
## <td headers="stub_1_1 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_1 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,405</td>
## <td headers="stub_1_1 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">3,013</td>
## <td headers="stub_1_1 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## <tr><th id="stub_1_2" scope="row" class="gt_row gt_center gt_stub">Status-Invaded</th>
## <td headers="stub_1_2 Estimate" class="gt_row gt_right" style="font-weight: bold;">0.75</td>
## <td headers="stub_1_2 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.06</td>
## <td headers="stub_1_2 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">0.63</td>
## <td headers="stub_1_2 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">0.87</td>
## <td headers="stub_1_2 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_2 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">3,866</td>
## <td headers="stub_1_2 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">2,884</td>
## <td headers="stub_1_2 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## </tbody>
##
##
## </table>
## </div>
ROS Conditional Effects
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
GLMM Flame Length
Flame Length Model Comparison
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: S_ROS ~ Status
## Data: fb (Number of observations: 1458)
## Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup draws = 4000
##
## Regression Coefficients:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 2.48 0.04 2.39 2.56 1.00 4405 3013
## StatusInvaded 0.75 0.06 0.63 0.87 1.00 3866 2884
##
## Further Distributional Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.14 0.02 1.10 1.19 1.00 4515 2790
## nu 59.95 19.15 30.41 104.53 1.00 4268 3232
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## Using 10 posterior draws for ppc type 'dens_overlay' by default.
Surface Flame Length Table
## # A tibble: 2 × 9
## Parameter Estimate `Est. Error` `95% CI (Lower)` `95% CI (Upper)`
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 Intercept 1.51 0.0205 1.47 1.55
## 2 Status-Invaded 0.159 0.0294 0.102 0.219
## # ℹ 4 more variables: `Probability > 0` <dbl>, `Bulk ESS` <dbl>,
## # `Tail ESS` <dbl>, `R-hat` <dbl>
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## <tr class="gt_heading">
## <td colspan="9" class="gt_heading gt_title gt_font_normal gt_bottom_border" style>Posterior Estimates for Surface Flame Length</td>
## </tr>
##
## <tr class="gt_col_headings">
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## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Estimate">Estimate</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Est.-Error">Est. Error</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Lower)">95% CI (Lower)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Upper)">95% CI (Upper)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Probability->-0">Probability > 0</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Bulk-ESS">Bulk ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Tail-ESS">Tail ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="R-hat">R-hat</th>
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## <tbody class="gt_table_body">
## <tr><th id="stub_1_1" scope="row" class="gt_row gt_center gt_stub">Intercept</th>
## <td headers="stub_1_1 Estimate" class="gt_row gt_right" style="font-weight: bold;">1.51</td>
## <td headers="stub_1_1 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.02</td>
## <td headers="stub_1_1 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">1.47</td>
## <td headers="stub_1_1 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">1.55</td>
## <td headers="stub_1_1 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_1 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,452</td>
## <td headers="stub_1_1 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">2,844</td>
## <td headers="stub_1_1 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.000</td></tr>
## <tr><th id="stub_1_2" scope="row" class="gt_row gt_center gt_stub">Status-Invaded</th>
## <td headers="stub_1_2 Estimate" class="gt_row gt_right" style="font-weight: bold;">0.16</td>
## <td headers="stub_1_2 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.03</td>
## <td headers="stub_1_2 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">0.10</td>
## <td headers="stub_1_2 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">0.22</td>
## <td headers="stub_1_2 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_2 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,241</td>
## <td headers="stub_1_2 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">2,727</td>
## <td headers="stub_1_2 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## </tbody>
##
##
## </table>
## </div>
Flame Length Conditional Effects
GLMM Surface Fireline Intensity
Fireline Intensity Model Comparison
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: S_Fin ~ Status
## Data: fb (Number of observations: 1458)
## Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup draws = 4000
##
## Regression Coefficients:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 693.45 19.38 655.49 730.75 1.00 3454 2835
## StatusInvaded 249.91 28.08 195.98 305.44 1.00 3383 2867
##
## Further Distributional Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 519.20 11.03 497.88 541.71 1.00 3678 3242
## nu 44.90 16.59 21.24 84.81 1.00 3723 3073
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## Using 10 posterior draws for ppc type 'dens_overlay' by default.
Surface Fireline Intensity Table
## # A tibble: 2 × 9
## Parameter Estimate `Est. Error` `95% CI (Lower)` `95% CI (Upper)`
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 Intercept 694. 19.6 655. 731.
## 2 Status-Invaded 250. 28.1 196. 305.
## # ℹ 4 more variables: `Probability > 0` <dbl>, `Bulk ESS` <dbl>,
## # `Tail ESS` <dbl>, `R-hat` <dbl>
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## <thead>
## <tr class="gt_heading">
## <td colspan="9" class="gt_heading gt_title gt_font_normal gt_bottom_border" style>Posterior Estimates for Surface Fireline Intensity</td>
## </tr>
##
## <tr class="gt_col_headings">
## <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col" id="a::stub"></th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Estimate">Estimate</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Est.-Error">Est. Error</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Lower)">95% CI (Lower)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Upper)">95% CI (Upper)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Probability->-0">Probability > 0</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Bulk-ESS">Bulk ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Tail-ESS">Tail ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="R-hat">R-hat</th>
## </tr>
## </thead>
## <tbody class="gt_table_body">
## <tr><th id="stub_1_1" scope="row" class="gt_row gt_center gt_stub">Intercept</th>
## <td headers="stub_1_1 Estimate" class="gt_row gt_right" style="font-weight: bold;">693.64</td>
## <td headers="stub_1_1 Est. Error" class="gt_row gt_right" style="font-weight: bold;">19.64</td>
## <td headers="stub_1_1 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">655.49</td>
## <td headers="stub_1_1 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">730.75</td>
## <td headers="stub_1_1 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_1 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">3,454</td>
## <td headers="stub_1_1 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">2,835</td>
## <td headers="stub_1_1 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.000</td></tr>
## <tr><th id="stub_1_2" scope="row" class="gt_row gt_center gt_stub">Status-Invaded</th>
## <td headers="stub_1_2 Estimate" class="gt_row gt_right" style="font-weight: bold;">249.93</td>
## <td headers="stub_1_2 Est. Error" class="gt_row gt_right" style="font-weight: bold;">28.07</td>
## <td headers="stub_1_2 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">195.98</td>
## <td headers="stub_1_2 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">305.44</td>
## <td headers="stub_1_2 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_2 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">3,383</td>
## <td headers="stub_1_2 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">2,867</td>
## <td headers="stub_1_2 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## </tbody>
##
##
## </table>
## </div>
Fireline Intensity Conditional Effects
GLMM Crown Transition Ratio
Crown Transition Ratio Model Comparison
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: C_TR ~ Status
## Data: fb (Number of observations: 1458)
## Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup draws = 4000
##
## Regression Coefficients:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 0.20 0.01 0.19 0.21 1.00 3038 2824
## StatusInvaded 0.03 0.01 0.01 0.05 1.00 2786 2807
##
## Further Distributional Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 0.15 0.01 0.14 0.17 1.00 2524 2672
## nu 2.35 0.19 2.02 2.77 1.00 2406 2224
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## Using 10 posterior draws for ppc type 'dens_overlay' by default.
Transition Ratio Table
## # A tibble: 2 × 9
## Parameter Estimate `Est. Error` `95% CI (Lower)` `95% CI (Upper)`
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 Intercept 0.200 0.00731 0.186 0.214
## 2 Status-Invaded 0.0284 0.0109 0.00763 0.0489
## # ℹ 4 more variables: `Probability > 0` <dbl>, `Bulk ESS` <dbl>,
## # `Tail ESS` <dbl>, `R-hat` <dbl>
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## <td colspan="9" class="gt_heading gt_title gt_font_normal gt_bottom_border" style>Posterior Estimates for Crown Fire Transition Ratio</td>
## </tr>
##
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## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Estimate">Estimate</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Est.-Error">Est. Error</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Lower)">95% CI (Lower)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Upper)">95% CI (Upper)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Probability->-0">Probability > 0</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Bulk-ESS">Bulk ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Tail-ESS">Tail ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="R-hat">R-hat</th>
## </tr>
## </thead>
## <tbody class="gt_table_body">
## <tr><th id="stub_1_1" scope="row" class="gt_row gt_center gt_stub">Intercept</th>
## <td headers="stub_1_1 Estimate" class="gt_row gt_right" style="font-weight: bold;">0.20</td>
## <td headers="stub_1_1 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.01</td>
## <td headers="stub_1_1 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">0.19</td>
## <td headers="stub_1_1 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">0.21</td>
## <td headers="stub_1_1 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_1 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">3,038</td>
## <td headers="stub_1_1 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">2,824</td>
## <td headers="stub_1_1 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## <tr><th id="stub_1_2" scope="row" class="gt_row gt_center gt_stub">Status-Invaded</th>
## <td headers="stub_1_2 Estimate" class="gt_row gt_right" style="font-weight: bold;">0.03</td>
## <td headers="stub_1_2 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.01</td>
## <td headers="stub_1_2 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">0.01</td>
## <td headers="stub_1_2 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">0.05</td>
## <td headers="stub_1_2 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">0.996</td>
## <td headers="stub_1_2 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">2,786</td>
## <td headers="stub_1_2 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">2,807</td>
## <td headers="stub_1_2 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## </tbody>
##
##
## </table>
## </div>
Crown Transition Ratio Conditional Effects
GLMM Crown Fire Active Ratio
Crown Fire Active Ratio Model Comparison
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: C_AR ~ Status
## Data: fb (Number of observations: 1458)
## Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup draws = 4000
##
## Regression Coefficients:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 0.09 0.00 0.08 0.09 1.00 4637 3798
## StatusInvaded -0.02 0.00 -0.02 -0.01 1.00 4171 2706
##
## Further Distributional Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 0.06 0.00 0.06 0.06 1.00 3044 2366
## nu 86.29 22.82 50.27 138.14 1.00 3028 2539
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## Using 10 posterior draws for ppc type 'dens_overlay' by default.
Active Ratio Table
## # A tibble: 2 × 9
## Parameter Estimate `Est. Error` `95% CI (Lower)` `95% CI (Upper)`
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 Intercept 0.0871 0.00227 0.0827 0.0914
## 2 Status-Invaded -0.0169 0.00328 -0.0233 -0.0107
## # ℹ 4 more variables: `Probability > 0` <dbl>, `Bulk ESS` <dbl>,
## # `Tail ESS` <dbl>, `R-hat` <dbl>
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## <td colspan="9" class="gt_heading gt_title gt_font_normal gt_bottom_border" style>Posterior Estimates for Crown Fire Active Ratio</td>
## </tr>
##
## <tr class="gt_col_headings">
## <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col" id="a::stub"></th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Estimate">Estimate</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Est.-Error">Est. Error</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Lower)">95% CI (Lower)</th>
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## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Tail-ESS">Tail ESS</th>
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## <tr><th id="stub_1_1" scope="row" class="gt_row gt_center gt_stub">Intercept</th>
## <td headers="stub_1_1 Estimate" class="gt_row gt_right" style="font-weight: bold;">0.09</td>
## <td headers="stub_1_1 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.00</td>
## <td headers="stub_1_1 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">0.08</td>
## <td headers="stub_1_1 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">0.09</td>
## <td headers="stub_1_1 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_1 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,637</td>
## <td headers="stub_1_1 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">3,798</td>
## <td headers="stub_1_1 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## <tr><th id="stub_1_2" scope="row" class="gt_row gt_center gt_stub">Status-Invaded</th>
## <td headers="stub_1_2 Estimate" class="gt_row gt_right" style="font-weight: bold;">−0.02</td>
## <td headers="stub_1_2 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.00</td>
## <td headers="stub_1_2 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">−0.02</td>
## <td headers="stub_1_2 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">−0.01</td>
## <td headers="stub_1_2 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">0.000</td>
## <td headers="stub_1_2 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,171</td>
## <td headers="stub_1_2 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">2,706</td>
## <td headers="stub_1_2 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.002</td></tr>
## </tbody>
##
##
## </table>
## </div>
Active Ratio Conditional Effects
GLMM Crown Fire Rate of Spread
Crown Fire Rate of Spread Model Comparison
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: C_ROS ~ Status
## Data: fb (Number of observations: 1458)
## Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup draws = 4000
##
## Regression Coefficients:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 1.05 0.03 1.00 1.10 1.00 4906 3154
## StatusInvaded -0.24 0.04 -0.31 -0.16 1.00 4506 3110
##
## Further Distributional Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 0.71 0.01 0.69 0.74 1.00 4800 3353
## nu 85.18 22.21 49.57 136.86 1.00 4420 3266
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## Using 10 posterior draws for ppc type 'dens_overlay' by default.
Crown Fire Rate of Spread Table
## # A tibble: 2 × 9
## Parameter Estimate `Est. Error` `95% CI (Lower)` `95% CI (Upper)`
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 Intercept 1.05 0.0272 0.997 1.10
## 2 Status-Invaded -0.236 0.0368 -0.308 -0.164
## # ℹ 4 more variables: `Probability > 0` <dbl>, `Bulk ESS` <dbl>,
## # `Tail ESS` <dbl>, `R-hat` <dbl>
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## <td colspan="9" class="gt_heading gt_title gt_font_normal gt_bottom_border" style>Posterior Estimates for Crown Fire Rate of Spread</td>
## </tr>
##
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## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Estimate">Estimate</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Est.-Error">Est. Error</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Lower)">95% CI (Lower)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Upper)">95% CI (Upper)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Probability->-0">Probability > 0</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Bulk-ESS">Bulk ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Tail-ESS">Tail ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="R-hat">R-hat</th>
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## <tbody class="gt_table_body">
## <tr><th id="stub_1_1" scope="row" class="gt_row gt_center gt_stub">Intercept</th>
## <td headers="stub_1_1 Estimate" class="gt_row gt_right" style="font-weight: bold;">1.05</td>
## <td headers="stub_1_1 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.03</td>
## <td headers="stub_1_1 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">1.00</td>
## <td headers="stub_1_1 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">1.10</td>
## <td headers="stub_1_1 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_1 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,906</td>
## <td headers="stub_1_1 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">3,154</td>
## <td headers="stub_1_1 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.000</td></tr>
## <tr><th id="stub_1_2" scope="row" class="gt_row gt_center gt_stub">Status-Invaded</th>
## <td headers="stub_1_2 Estimate" class="gt_row gt_right" style="font-weight: bold;">−0.24</td>
## <td headers="stub_1_2 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.04</td>
## <td headers="stub_1_2 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">−0.31</td>
## <td headers="stub_1_2 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">−0.16</td>
## <td headers="stub_1_2 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">0.000</td>
## <td headers="stub_1_2 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,506</td>
## <td headers="stub_1_2 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">3,110</td>
## <td headers="stub_1_2 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## </tbody>
##
##
## </table>
## </div>
Crown Fire Rate of Spread Conditional Effects
GLMM Crown Fire Intensity
Crown Fire Intensity Model Comparison
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: C_Fin ~ Status
## Data: fb (Number of observations: 1458)
## Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup draws = 4000
##
## Regression Coefficients:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 1129.86 31.40 1069.03 1190.93 1.00 4443 3248
## StatusInvaded -243.78 43.87 -328.60 -158.55 1.00 4644 3529
##
## Further Distributional Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 841.92 16.08 810.46 873.53 1.00 4583 3467
## nu 78.81 21.20 44.68 128.00 1.00 4070 3298
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## Using 10 posterior draws for ppc type 'dens_overlay' by default.
Crown Fire Intensity Table
## # A tibble: 2 × 9
## Parameter Estimate `Est. Error` `95% CI (Lower)` `95% CI (Upper)`
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 Intercept 1130. 31.7 1069. 1191.
## 2 Status-Invaded -243. 43.5 -329. -159.
## # ℹ 4 more variables: `Probability > 0` <dbl>, `Bulk ESS` <dbl>,
## # `Tail ESS` <dbl>, `R-hat` <dbl>
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## <tr class="gt_heading">
## <td colspan="9" class="gt_heading gt_title gt_font_normal gt_bottom_border" style>Posterior Estimates for Crown Fire Intensity</td>
## </tr>
##
## <tr class="gt_col_headings">
## <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col" id="a::stub"></th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Estimate">Estimate</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Est.-Error">Est. Error</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Lower)">95% CI (Lower)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Upper)">95% CI (Upper)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Probability->-0">Probability > 0</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Bulk-ESS">Bulk ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Tail-ESS">Tail ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="R-hat">R-hat</th>
## </tr>
## </thead>
## <tbody class="gt_table_body">
## <tr><th id="stub_1_1" scope="row" class="gt_row gt_center gt_stub">Intercept</th>
## <td headers="stub_1_1 Estimate" class="gt_row gt_right" style="font-weight: bold;">1,129.91</td>
## <td headers="stub_1_1 Est. Error" class="gt_row gt_right" style="font-weight: bold;">31.68</td>
## <td headers="stub_1_1 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">1,069.03</td>
## <td headers="stub_1_1 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">1,190.93</td>
## <td headers="stub_1_1 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_1 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,443</td>
## <td headers="stub_1_1 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">3,248</td>
## <td headers="stub_1_1 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.001</td></tr>
## <tr><th id="stub_1_2" scope="row" class="gt_row gt_center gt_stub">Status-Invaded</th>
## <td headers="stub_1_2 Estimate" class="gt_row gt_right" style="font-weight: bold;">−243.14</td>
## <td headers="stub_1_2 Est. Error" class="gt_row gt_right" style="font-weight: bold;">43.50</td>
## <td headers="stub_1_2 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">−328.60</td>
## <td headers="stub_1_2 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">−158.55</td>
## <td headers="stub_1_2 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">0.000</td>
## <td headers="stub_1_2 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,644</td>
## <td headers="stub_1_2 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">3,529</td>
## <td headers="stub_1_2 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.000</td></tr>
## </tbody>
##
##
## </table>
## </div>
Crown Fire Intensity Conditional Effects
GLMM Crown Fire Flame Length
Crown Fire Flame Length Model Comparison
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: C_FL ~ Status
## Data: fb (Number of observations: 1458)
## Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup draws = 4000
##
## Regression Coefficients:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 2.50 0.07 2.37 2.63 1.00 4612 3136
## StatusInvaded -0.39 0.09 -0.57 -0.20 1.00 5213 3295
##
## Further Distributional Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.77 0.03 1.71 1.84 1.00 5042 2947
## nu 84.57 21.65 48.86 133.48 1.00 4639 2981
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## Using 10 posterior draws for ppc type 'dens_overlay' by default.
Crown Flame Length Table
## # A tibble: 2 × 9
## Parameter Estimate `Est. Error` `95% CI (Lower)` `95% CI (Upper)`
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 Intercept 2.50 0.0660 2.37 2.63
## 2 Status-Invaded -0.388 0.0941 -0.570 -0.205
## # ℹ 4 more variables: `Probability > 0` <dbl>, `Bulk ESS` <dbl>,
## # `Tail ESS` <dbl>, `R-hat` <dbl>
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## <table class="gt_table" data-quarto-disable-processing="false" data-quarto-bootstrap="false">
## <thead>
## <tr class="gt_heading">
## <td colspan="9" class="gt_heading gt_title gt_font_normal gt_bottom_border" style>Posterior Estimates for Crown Flame Length</td>
## </tr>
##
## <tr class="gt_col_headings">
## <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col" id="a::stub"></th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Estimate">Estimate</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Est.-Error">Est. Error</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Lower)">95% CI (Lower)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="a95%-CI-(Upper)">95% CI (Upper)</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Probability->-0">Probability > 0</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Bulk-ESS">Bulk ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="Tail-ESS">Tail ESS</th>
## <th class="gt_col_heading gt_columns_bottom_border gt_right" rowspan="1" colspan="1" scope="col" id="R-hat">R-hat</th>
## </tr>
## </thead>
## <tbody class="gt_table_body">
## <tr><th id="stub_1_1" scope="row" class="gt_row gt_center gt_stub">Intercept</th>
## <td headers="stub_1_1 Estimate" class="gt_row gt_right" style="font-weight: bold;">2.50</td>
## <td headers="stub_1_1 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.07</td>
## <td headers="stub_1_1 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">2.37</td>
## <td headers="stub_1_1 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">2.63</td>
## <td headers="stub_1_1 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">1.000</td>
## <td headers="stub_1_1 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">4,612</td>
## <td headers="stub_1_1 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">3,136</td>
## <td headers="stub_1_1 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.000</td></tr>
## <tr><th id="stub_1_2" scope="row" class="gt_row gt_center gt_stub">Status-Invaded</th>
## <td headers="stub_1_2 Estimate" class="gt_row gt_right" style="font-weight: bold;">−0.39</td>
## <td headers="stub_1_2 Est. Error" class="gt_row gt_right" style="font-weight: bold;">0.09</td>
## <td headers="stub_1_2 95% CI (Lower)" class="gt_row gt_right" style="font-weight: bold;">−0.57</td>
## <td headers="stub_1_2 95% CI (Upper)" class="gt_row gt_right" style="font-weight: bold;">−0.20</td>
## <td headers="stub_1_2 Probability > 0" class="gt_row gt_right" style="font-weight: bold;">0.000</td>
## <td headers="stub_1_2 Bulk ESS" class="gt_row gt_right" style="font-weight: bold;">5,213</td>
## <td headers="stub_1_2 Tail ESS" class="gt_row gt_right" style="font-weight: bold;">3,295</td>
## <td headers="stub_1_2 R-hat" class="gt_row gt_right" style="font-weight: bold;">1.000</td></tr>
## </tbody>
##
##
## </table>
## </div>
Crown Fire Flame Length Conditional Effects
