informativeDropout.bayes.splines: Fit a varying coefficient model for longitudinal studies with...

In kreidles/informativeDropout: informativeDropout: varying coefficient models to account for informative dropout

Description

Fit a varying coefficient model for longitudinal studies with informative dropout. Uses a Bayesian approach with a spline fit to model the relationship between dropout times and slope

Usage

informativeDropout.bayes.splines(data, ids.var, outcomes.var, groups.var,
  covariates.var, times.dropout.var, times.observation.var, dist,
  model.options)

Arguments

data	the data set
ids.var	column of the data set containing the participant id
outcomes.var	column of the data set containing the outcome variable
groups.var	column of the data set indicating treatment group
covariates.var	list of columns of the data set containing covariates
times.dropout.var	column of the data set containing dropout times
times.observation.var	column of the data set containing observation times
dist	distribution of the outcome (either "gaussian" or "binary")
model.options	the bayes.spines.model.options object (@seealso bayes.spines.model.options)

kreidles/informativeDropout documentation built on Sept. 13, 2020, 12:15 a.m.