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

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

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 month
t0	last pre-policy timepoint
t_max	Index of last month
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$month )
table( fdat$type )

simITS documentation built on July 2, 2020, 4:10 a.m.