generate_fake_grouped_data: A fake DGP with time varying categorical covariate for...

In lmiratrix/simITS: Analysis via Simulation of Interrupted Time Series (ITS) Data

A fake DGP with time varying categorical covariate for illustrating the code.

Description

This code makes synthetic grouped data that can be used to illustrate benefits of post stratification.

Usage

generate_fake_grouped_data(
  t_min,
  t0,
  t_max,
  method = c("complex", "linear", "jersey")
)

Arguments

t_min	Index of first time point
t0	last pre-policy timepoint
t_max	Index of last time point
method	Type of post-stratification structure to generate (three designs of 'complex', 'linear' and 'jersey' were originally concieved of when designing simulation studies with different types of structure).

Value

Dataframe of fake data, with one row per group per time period.

Examples

fdat = generate_fake_grouped_data(t_min=-5,t_max=10, t0 = 0)
table( fdat$time )
table( fdat$type )

lmiratrix/simITS documentation built on Sept. 1, 2023, 9:02 p.m.