Specification of Generalised Linear Mixed Models

Documentation for package ‘glmmrBase’ version 0.2.5

glmmrBase-package	Specification of Generalised Linear Mixed Models
attenuate_xb	Return marginal expectation with attenuation
Beta	Beta distribution declaration
Covariance	R6 Class representing a covariance function and data
cross_df	Generate crossed block structure
cycles	Generates all the orderings of a
dfactor	Factor function
dfexp	Exponential function
didentity	Identity function
genCholD	Generates the Cholesky decomposition covariance matrix of the random effects
genD	Generates the covariance matrix of the random effects
gen_dhdmu	Generates the inverse GLM iterated weights.
gen_sigma_approx	Generates an approximation to the covariance of y
glmmrBase	Specification of Generalised Linear Mixed Models
match_rows	Generate matrix mapping between data frames
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
parallel_crt	Generate a parallel cluster design
progress_bar	Generates a progress bar
sample_re	Generates a sample of random effects
staircase_crt	Generate a staircase/diagonal trial design
stepped_wedge	Generate a stepped-wedge design