glmmrBase0.11.2 package

lme4 style generlized linear mixed model

Extracts the log-likelihood from an mcml object

Extracts the log-likelihood from an mcml object

Generate matrix mapping between data frames

Generates a block experimental structure using Nelder's formula

Generate nested block structure

Predict from a mcml object

Summarises an mcml fit output

Summarizes a Model object

Extract the Variance-Covariance matrix for a mcml object

Calculate Variance-Covariance matrix for a Model object

lme4 style linear mixed model

Returns the file name and type for MCNR function

For the generalised linear mixed model

A GLMM Model

Map lme4 formula to glmmrBase formula

Generate crossed block structure

Generates all the orderings of a

Extracts the family from a mcml object.

Extracts the family from a Model object. This information can also b...

Fitted values from a mcml object

Extract or generate fitted values from a Model object

Extracts the fixed effect estimates

Extracts the formula from a mcml object.

Extracts the formula from a Model object

tools:::Rd_package_title("glmmrBase")

Automatic differentiation of formulae

Disable or enable parallelised computing

Beta distribution declaration

Extracts fixed effect coefficients from a mcml object

Extracts coefficients from a Model object

Fixed effect confidence intervals for a mcml object

R6 Class representing a covariance function and data

Generate predictions at new values from a Model object

Prints an mcml fit output

Generates a progress bar

Family declaration to support quantile regression

Extracts the random effect estimates

Residuals method for a mcml object

Extract residuals from a Model object