tramME (version 1.0.1)

model.frame.tramME: Extract model frame from a tramME model

Description

Extract model frame from a tramME model

Usage

# S3 method for tramME
model.frame(
  formula,
  data = NULL,
  group_as_factor = FALSE,
  ignore_response = FALSE,
  ...
)

Arguments

formula

A tramME object.

data

a data.frame, list or environment (or object coercible by as.data.frame to a data.frame), containing the variables in formula. Neither a matrix nor an array will be accepted.

group_as_factor

Logical; If TRUE, automatically convert the grouping variables of the random effects to factors. (not used, might not be needed) ## FIXME

ignore_response

Logical; If TRUE, the response is not added to the result. In this case the function won't look for it in data.

...

Optional arguments, passed to model.frame.

Value

A tramME_data object, which is also a data.frame.

Details

In mlt, the basis functions expect the response variables in the data to be evaluated, i.e. instead of x and y columns we should have a `Surv(x, y)` column when the response is a Surv object. model.frame.tramME builds the model frame accordingly, assigning to the resulting object the class tramME_data to indicate this structure to other functions that use its results. If the input data is a tramME_data is also expects this structure.

Examples

# NOT RUN {
data("sleepstudy", package = "lme4")
mod <- LmME(Reaction ~ Days + (Days | Subject), data = sleepstudy, nofit = TRUE)
model.frame(mod)
# }