Generate Simulated Observations

Usage

sampleObservations(object, times_df)

# S3 method for class 'SimLongitudinalClaretBruno'
sampleObservations(object, times_df)

# S3 method for class 'SimLongitudinalGSF'
sampleObservations(object, times_df)

# S3 method for class 'SimLongitudinalRandomSlope'
sampleObservations(object, times_df)

# S3 method for class 'SimLongitudinalSteinFojo'
sampleObservations(object, times_df)

# S3 method for class 'SimSurvival'
sampleObservations(object, times_df)

Arguments

object: (SimLongitudinal or SimSurvival) object to generate observations from.
times_df: (data.frame) the times at which to generate observations. See details.

Value

A data.frame containing simulated observations.

Details

The times_df argument should be a data.frame as created by sampleSubjects but replicated for each time point at which observations are to be generated. That is if you want to generate observations for times c(0, 1, 2, 3) then times_df should be created as:

subject_dat <- sampleSubjects(object, ...)
times_df <- tidyr::expand_grid(
    subject_dat,
    time = c(0, 1, 2, 3)
  )

Examples

sim <- SimLongitudinalRandomSlope(slope_mu = 0.01, slope_sigma = 0.5)
subjects <- data.frame(study = factor("S"), arm = factor("A"), subject = "1")
subject_parameters <- sampleSubjects(sim, subjects)
sampleObservations(sim, transform(subject_parameters, time = 0))
#>   study arm subject intercept  slope_ind time sld_mu sld_sd      sld
#> 1     S   A       1        50 -0.2273247    0     50      2 51.10869
#>   log_haz_link
#> 1            0