glmmrBase0.10.5 package

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 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

Map lme4 formula to glmmrBase formula

Extracts the log-likelihood from an mcml object

Extracts the log-likelihood from an mcml object

Generate matrix mapping between data frames

lme4 style generlized linear mixed model

lme4 style linear mixed model

Returns the file name and type for MCNR function

R6 Class representing a mean function/linear predictor

A GLMM Model

Generates a block experimental structure using Nelder's formula

Generate nested block structure

Predict from a mcml object

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

Disable or enable parallelised computing

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