Resample transition probabilities — resample.trans.prob • pandista

Resamples transition probabilities from a fitted model, optionally by group, based on the estimated Hessian

Usage

resample.trans.prob(
  modelobj,
  covdata_byid = NULL,
  extendtime = FALSE,
  method = "mean",
  groupvar = NULL,
  n.samples = 100
)

modelobj: A pandista model object
covdata_byid: A list of dataframes; each dataframe is the covariate data for one subject. If NULL, will use the covariate data as contained in modelobj
extendtime: Logical; If TRUE, extend each subject's covariate data to t.final before any averaging occurs. Extension is done by carrying forward the last observation for each subject.
method: String; Method to use for averaging. One of 'mean' (default), 'meanbyt', 'sampleavg', or 'single'.
groupvar: String; Name of a categorical grouping variable. Results will be computed separatedly for each level of the variable, and returned as a list
n.samples: Integer; The number of resamples to take.