checking: Internal checking function

Description

Internal checking function

Usage

checking(
  DynForest_obj = NULL,
  timeData,
  fixedData,
  idVar,
  timeVar,
  timeVarModel,
  Y,
  ntree = 200,
  mtry = 1,
  nodesize = 1,
  minsplit = 2,
  cause = 1
)

Arguments

DynForest_obj: A DynForest object resulting from DynForest() function
timeData: A data.frame containing the id and time measurements variables and the time-dependent predictors.
fixedData: A data.frame containing the id variable and the time-fixed predictors. Non-continuous variables should be characterized as factor.
idVar: A character indicating the name of variable to identify the subjects
timeVar: A character indicating the name of time variable
timeVarModel: A list for each time-dependent predictors containing a list of formula for fixed and random part from the mixed model
Y: A list of output which should contain: type defines the nature of the output, can be "surv", "scalar" or "factor"; Y is the output variable; id is the vector of the identifiers for each individuals, they should be the same as the identifiers of the inputs.
ntree: Number of trees to grow. Default value set to 200.
mtry: Number of candidate variables randomly drawn at each node of the trees. This parameter should be tuned by minimizing the OOB error.
minsplit: (Only with survival outcome) Minimal number of events required to split the node. Cannot be smaller than 2.
cause: (Only with competing events) Number indicates the event of interest.