# Generalised Linear Mixed Models in R

## Documentation for package ‘glmmrBase’ version 0.7.1

- DESCRIPTION file.

## Help Pages

glmmrBase-package | Generalised Linear Mixed Models in R
Beta | Beta distribution declaration
coef.mcml | Extracts coefficients from a mcml object
Covariance | R6 Class representing a covariance function and data
cross_df | Generate crossed block structure
cycles | Generates all the orderings of a
fixed.effects | Extracts the fixed effect estimates
glmmrBase | Generalised Linear Mixed Models in R
logLik.mcml | Extracts the log-likelihood from an mcml object
match_rows | Generate matrix mapping between data frames
mcnr_family | Returns the file name and type for MCNR function
MeanFunction | R6 Class representing a mean function/linear predictor
Model | A GLMM Model
nelder | Generates a block experimental structure using Nelder's formula
nest_df | Generate nested block structure
print.mcml | Prints an mcml fit output
progress_bar | Generates a progress bar
random.effects | Extracts the random effect estimates
setParallel | Disable or enable parallelised computing
summary.mcml | Summarises an mcml fit output
yexample312a | Data for first example in Section 3.12 of JSS paper
yexample312b | Data for second example in Section 3.12 of JSS paper
yexample312c | Data for third example in Section 3.12 of JSS paper
ytest1 | Data for model tests