list of specials -- taken from enum.R
Format the 'VarCorr' Matrix of Random Effects
apply
Optimize a TMB model and package results
Seizure Counts for Epileptics - Extended
Retrieve family-specific parameters
truncated distributions
Downstream methods
collapse duplicated observations
Extract fixed-effects estimates
Calculate random effect structure
Calculates number of random effects, number of parameters,
block size and number of blocks. Mostly for internal use.
Fit Models with TMB
Create X and random effect terms from formula
translate vector of correlation parameters to correlation values
List model options that glmmTMB knows about
expand double-bar RE notation by splitting
Extract or Get Generalize Components from a Fitted Mixed Effects Model
Control parameters for glmmTMB optimization
Extract the formula of a glmmTMB object
Get Grouping Variable
Methods for extracting developer-level information from glmmTMB
models
conditionally update glmmTMB object fitted with an old TMB version
prediction
Printing The Variance and Correlation Parameters of a glmmTMB
Extract Random Effects
Compute likelihood profiles for a fitted model
Factor with numeric interpretable levels.
Check OpenMP status
Family functions for glmmTMB
Extract info from formulas, reTrms, etc., format for TMB
Objects exported from other packages
Simulate from a glmmTMB fitted model
Compute residuals for a glmmTMB object
Extract residual standard deviation or dispersion parameter
Reinstalling binary dependencies
Calculate Variance-Covariance Matrix for a Fitted glmmTMB model
Change starting parameters, either by residual method or by user input (start)
Extract weights from a glmmTMB object
Split formula containing special random effect terms
Repeated counts of salamanders in streams
Calculate confidence intervals
diagnose model problems
extract right-hand side of a formula
Check for version mismatch in dependent binary packages
support methods for parametric bootstrapping
Extract variance and correlation components
Begging by Owl Nestlings
Adjust a model matrix
When not rank deficient, do nothing.
When rank deficient matrix, drop columns.
Check for identifiability of fixed effects matrices X, Xzi, Xd.
When rank_check='adjust', drop columns in X and remove associated parameters.