REMB-class {dfmeta}

An S4 class to represent the results using the random effect model-based (REMB) algorithm.

Description

An S4 class to represent the results using the random effect model-based (REMB) algorithm.

Slots

dataTox

A data frame containing information for each patient at each simulation and trial.

sim0

The simulation starting point; must be numeric.

sim1

The simulation ending point; must be numeric.

family

A distribution family for the response variable; defaults to binomial distribution. See glm and glmer for details.

link

A specification for the model link function. This can be a name/expression, a literal character string or a length-one character vector; defaults to logit link function. See glmer for details.

estimates

A data frame including the predicted toxicity probabilities (column named as "rndpt") using either the predicted random effect center "mu" (column named as "PredMu"), if it's available, or the value ratio (i.e. # of toxicities / # of subjects) if the corresponding "mu" is not available. Note that, "PredMu" value is equal to "NA" when there is no prediction for it.