# Generalized Linear Mixed Models using Template Model Builder

## Documentation for package ‘glmmTMB’ version 1.0.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

Anova.glmmTMB | Downstream methods
as.data.frame.ranef.glmmTMB | Extract Random Effects
betabinomial | Family functions for glmmTMB
beta_family | Family functions for glmmTMB
coef.glmmTMB | Extract Random Effects
compois | Family functions for glmmTMB
confint.glmmTMB | Calculate confidence intervals
confint.profile.glmmTMB | Compute likelihood profiles for a fitted model
downstream_methods | Downstream methods
Effect.glmmTMB | Downstream methods
emmeans.glmmTMB | Downstream methods
epil2 | Seizure Counts for Epileptics - Extended
family_glmmTMB | Family functions for glmmTMB
findReTrmClasses | list of specials - taken from enum.R
fitTMB | Optimize a TMB model and package results
fixef | Extract fixed-effects estimates
fixef.glmmTMB | Extract fixed-effects estimates
formatVC | Format the 'VarCorr' Matrix of Random Effects
formula.glmmTMB | Extract the formula of a glmmTMB object
genpois | Family functions for glmmTMB
getCapabilities | List model options that glmmTMB knows about
getME | Extract or Get Generalize Components from a Fitted Mixed Effects Model
getME.glmmTMB | Extract or Get Generalize Components from a Fitted Mixed Effects Model
getReStruc | Calculate random effect structure Calculates number of random effects, number of parameters, block size and number of blocks. Mostly for internal use.
getXReTrms | Create X and random effect terms from formula
get_cor | translate vector of correlation parameters to correlation values
glmmTMB | Fit Models with TMB
glmmTMBControl | Control parameters for glmmTMB optimization
isLMM.glmmTMB | support methods for parametric bootstrapping
model.matrix.glmmTMB | Methods for extracting developer-level information from 'glmmTMB' models
nbinom1 | Family functions for glmmTMB
nbinom2 | Family functions for glmmTMB
numFactor | Factor with numeric interpretable levels.
OwlModel | Begging by Owl Nestlings
OwlModel_nb1_bs | Begging by Owl Nestlings
OwlModel_nb1_bs_mcmc | Begging by Owl Nestlings
Owls | Begging by Owl Nestlings
parseNumLevels | Factor with numeric interpretable levels.
predict.glmmTMB | prediction
print.VarCorr.glmmTMB | Printing The Variance and Correlation Parameters of a 'glmmTMB'
profile.glmmTMB | Compute likelihood profiles for a fitted model
ranef | Extract Random Effects
ranef.glmmTMB | Extract Random Effects
refit.glmmTMB | support methods for parametric bootstrapping
residuals.glmmTMB | Compute residuals for a glmmTMB object
Salamanders | Repeated counts of salamanders in streams
sigma | Extract residual standard deviation or dispersion parameter
sigma.glmmTMB | Extract residual standard deviation or dispersion parameter
simulate.glmmTMB | Simulate from a glmmTMB fitted model
terms.glmmTMB | Methods for extracting developer-level information from 'glmmTMB' models
truncated_compois | Family functions for glmmTMB
truncated_genpois | Family functions for glmmTMB
truncated_nbinom1 | Family functions for glmmTMB
truncated_nbinom2 | Family functions for glmmTMB
truncated_poisson | Family functions for glmmTMB
tweedie | Family functions for glmmTMB
vcov.glmmTMB | Calculate Variance-Covariance Matrix for a Fitted glmmTMB model
weights.glmmTMB | Extract weights from a glmmTMB object
ziGamma | Family functions for glmmTMB