ctsem: ctDiscretiseData – R documentation

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ctDiscretiseData

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'))

ctsem

Continuous Time Structural Equation Modelling

v3.4.3

GPL-3

Authors

Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph], Trustees of Columbia University [cph]

Initial release

2021-04-20