Family: gaussian
Links: mu = identity; sigma = identity
Formula: g4math ~ kinder
Data: x (Number of observations: 1582)
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 709.54 1.42 706.75 712.35 1.00 4342 3068
kindersmall -0.34 2.14 -4.49 3.85 1.00 4136 2939
Further Distributional Parameters:
Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
sigma 42.24 0.75 40.81 43.76 1.00 5364 3160
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).
