Generalised Linear Mixed Models in R

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Documentation for package ‘glmmrBase’ version 0.11.2

• DESCRIPTION file.

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glmmrBase-package	Generalised Linear Mixed Models in R
Beta	Beta distribution declaration
coef.mcml	Extracts fixed effect coefficients from a mcml object
coef.Model	Extracts coefficients from a Model object
confint.mcml	Fixed effect confidence intervals for 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
family.mcml	Extracts the family from a 'mcml' object.
family.Model	Extracts the family from a 'Model' object. This information can also be accessed directly from the Model as 'Model$family'
fitted.mcml	Fitted values from a 'mcml' object
fitted.Model	Extract or generate fitted values from a 'Model' object
fixed.effects	Extracts the fixed effect estimates
formula.mcml	Extracts the formula from a 'mcml' object.
formula.Model	Extracts the formula from a 'Model' object
glmmrBase	Generalised Linear Mixed Models in R
hessian_from_formula	Automatic differentiation of formulae
lme4_to_glmmr	Map lme4 formula to glmmrBase formula
logLik.mcml	Extracts the log-likelihood from an mcml object
logLik.Model	Extracts the log-likelihood from an mcml object
match_rows	Generate matrix mapping between data frames
mcml_glmer	lme4 style generlized linear mixed model
mcml_lmer	lme4 style linear mixed model
mcnr_family	Returns the file name and type for MCNR function
MeanFunction	For the generalised linear mixed model
Model	A GLMM Model
nelder	Generates a block experimental structure using Nelder's formula
nest_df	Generate nested block structure
predict.mcml	Predict from a 'mcml' object
predict.Model	Generate predictions at new values from a 'Model' object
print.mcml	Prints an mcml fit output
progress_bar	Generates a progress bar
Quantile	Family declaration to support quantile regression
random.effects	Extracts the random effect estimates
residuals.mcml	Residuals method for a 'mcml' object
residuals.Model	Extract residuals from a 'Model' object
Salamanders	Salamanders data
setParallel	Disable or enable parallelised computing
SimGeospat	Simulated data from a geospatial study with continuous outcomes
SimTrial	Simulated data from a stepped-wedge cluster trial
summary.mcml	Summarises an mcml fit output
summary.Model	Summarizes a 'Model' object
vcov.mcml	Extract the Variance-Covariance matrix for a 'mcml' object
vcov.Model	Calculate Variance-Covariance matrix for a 'Model' object