Skip to contents

Generate Piecewise-Linear Enrollment and Dropout Plan

gen_timepoints.Rd

Creates a time-indexed plan with piecewise constant enrollment and dropout rates.

Usage

gen_timepoints(sample_size, arms, allocation, enrollment, dropout)

Arguments

sample_size

integer Trial sample size.

arms

character vector of arm identifiers.

allocation

numeric vector of allocation ratios.

enrollment

list with end_time (numeric endpoints) and rate (numeric subjects/unit time for each period).

dropout

list with end_time and rate (same structure).

Value

data.frame with columns: time, arm, enroller, dropper.

See also

gen_plan() for random inter-event times, add_timepoints().

Examples

gen_timepoints(
  sample_size = 100,
  arms = c("A", "B"),
  allocation = c(2, 1),
  enrollment = list(
    end_time = c(4, 8, 12),
    rate = c(6, 12, 18)
  ),
  dropout = list(
    end_time = c(5, 9, 13),
    rate = c(0, 3, 6)
  )
)
#> # A tibble: 20 × 4
#>     time arm   enroller dropper
#>    <dbl> <chr>    <int>   <int>
#>  1     1 A            4       0
#>  2     2 A            4       0
#>  3     3 A            4       0
#>  4     4 A            4       0
#>  5     5 A            8       0
#>  6     6 A            8       2
#>  7     7 A            8       2
#>  8     8 A            8       2
#>  9     9 A           12       2
#> 10    10 A            7       2
#> 11     1 B            2       0
#> 12     2 B            2       0
#> 13     3 B            2       0
#> 14     4 B            2       0
#> 15     5 B            4       0
#> 16     6 B            4       1
#> 17     7 B            4       1
#> 18     8 B            4       1
#> 19     9 B            6       1
#> 20    10 B            3       1