Are there more charges on game days?

Model specification:

  gd <- glmer(charges ~ game_day + (1|venue), charge.tot, family=poisson(link = "log"))
Regression (beta) coefficients for fixed effect (game day term)
(Intercept) game_day1
3.76 0.59

Which types of charges vary with game day?

Model specification (this model was used in the simulation function to estimate 95% confidence intervals for each regression parameter):

glmer(charges ~ game_day + game_day:charge_type + (1|venue), charge.sum, family=poisson(link = "log"))
Regression (beta) coefficients for fixed effects (term=charge types). lower and upper refer to bounds of the 95% CI, mean=mean regression coefficient from the simulation.
lower upper mean term
1 -1.386 1.769 0.154 endangering children
3 -1.792 1.099 -0.351 harassment
5 -1.792 1.099 -0.348 menacing
6 -1.609 1.609 -0.060 minor alcohol
8 0.000 2.565 1.114 other
10 0.754 3.091 1.678 property
12 0.827 3.219 1.784 resisting arrest
14 0.000 2.485 1.023 robbery
16 2.067 4.263 2.897 violent

Charges over the course of the day

Model specifications for competitive models returned by AICc model selection, followed by regression coefficients of the fixed-effect terms.

These results are overwhelming because when comparing the interaction of categorical variables, there is a coefficient for each level of each variable with every level of the other

## glmer(formula = charges ~ charge_type:hr2 + (1 | venue), data = clev.time, 
##     family = Gamma(link = "identity"))
##                         (Intercept)    charge_typeDOMESTIC VIOLENCE:hr2 
##                               1.069                               0.016 
## charge_typeENDANGERING CHILDREN:hr2           charge_typeHARASSMENT:hr2 
##                              -0.005                              -0.003 
##             charge_typeMENACING:hr2        charge_typeMINOR ALCOHOL:hr2 
##                              -0.001                              -0.004 
##                charge_typeOTHER:hr2             charge_typePROPERTY:hr2 
##                               0.006                               0.015 
##     charge_typeRESISTING ARREST:hr2              charge_typeROBBERY:hr2 
##                               0.016                               0.008 
##              charge_typeVIOLENT:hr2 
##                               0.069 
## glmer(formula = charges ~ game_day:hr2:charge_type + (1 | venue), 
##     data = clev.time, family = Gamma(link = "identity"))
##                                     (Intercept) 
##                                           0.995 
##     game_dayNo:hr2:charge_typeDOMESTIC VIOLENCE 
##                                           0.025 
##    game_dayYes:hr2:charge_typeDOMESTIC VIOLENCE 
##                                           0.015 
## game_dayYes:hr2:charge_typeENDANGERING CHILDREN 
##                                           0.000 
##            game_dayNo:hr2:charge_typeHARASSMENT 
##                                           0.000 
##           game_dayYes:hr2:charge_typeHARASSMENT 
##                                           0.000 
##              game_dayNo:hr2:charge_typeMENACING 
##                                           0.004 
##             game_dayYes:hr2:charge_typeMENACING 
##                                           0.000 
##        game_dayYes:hr2:charge_typeMINOR ALCOHOL 
##                                           0.000 
##                 game_dayNo:hr2:charge_typeOTHER 
##                                           0.006 
##                game_dayYes:hr2:charge_typeOTHER 
##                                           0.014 
##              game_dayNo:hr2:charge_typePROPERTY 
##                                           0.028 
##             game_dayYes:hr2:charge_typePROPERTY 
##                                           0.015 
##      game_dayNo:hr2:charge_typeRESISTING ARREST 
##                                           0.000 
##     game_dayYes:hr2:charge_typeRESISTING ARREST 
##                                           0.022 
##               game_dayNo:hr2:charge_typeROBBERY 
##                                           0.012 
##              game_dayYes:hr2:charge_typeROBBERY 
##                                           0.012 
##               game_dayNo:hr2:charge_typeVIOLENT 
##                                           0.035 
##              game_dayYes:hr2:charge_typeVIOLENT 
##                                           0.099