ctDiscretiseData: Discretise long format continuous time (ctsem) data to...

In cdriveraus/ctsem: Continuous Time Structural Equation Modelling

Discretise long format continuous time (ctsem) data to specific timestep.

Description

Extends and rounds timing information so equal intervals, according to specified timestep, are achieved. NA's are inserted in other columns as necessary, any columns specified by TDpredNames or TIpredNames have zeroes rather than NA's inserted (because some estimation routines do not tolerate NA's in covariates).

Usage

ctDiscretiseData(
  dlong,
  timestep,
  timecol = "time",
  idcol = "id",
  TDpredNames = NULL,
  TIpredNames = NULL
)

Arguments

dlong	Long format data
timestep	Positive real value to discretise
timecol	Name of column containing absolute (not intervals) time information.
idcol	Name of column containing subject id variable.
TDpredNames	Vector of column names of any time dependent predictors
TIpredNames	Vector of column names of any time independent predictors

Value

long format ctsem data.

Examples

long <- ctDiscretiseData(dlong=ctstantestdat, timestep = .1,
TDpredNames=c('TD1'),TIpredNames=c('TI1','TI2','TI3'))

cdriveraus/ctsem documentation built on April 18, 2024, 5:24 a.m.