add_time_function_vars

The dataframe to which to add the time-function variables.

The number of observations per cluster.

parameters

Given variable-specific slopes and intercepts for a cluster, creates continuous variables that
increase or 
decrease linearly in time (with normal error with standard deviation <code>error.SD</code>) and
adds them to the dataframe.

Flexibly simulates a dataset with time-varying covariates with user-specified exchangeable correlation structures across and within clusters. Covariates can be normal or binary and can be static within a cluster or time-varying. Time-varying normal variables can optionally have linear trajectories within each cluster. See ?make_one_dataset for the main wrapper function. See Montez-Rath et al. <arXiv:1709.10074> for methodological details.

add_time_function_vars: Creates linear time-function variables

Description

Usage

Arguments

Details