README.md

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

The informativeDropout Package

The informativeDropout package for R (>3.2.0) implements several models to account for dropout in longitudinal studies.

The package provides companion code for the manuscripts:

Moore, C.M., Carlson, N.E., MaWhinney, S. A Bayesian Natural Cubic B Spline Varying Coefficient Method for Non-Ignorable Dropout, In review.

Moore, C.M., Carlson, N.E., MaWhinney, S. A Dirichlet Process Mixture Model for Non-Ignorable Dropout, In review.

Installation instructions

The results in the above manuscript were produced using R version 3.6.2. To reproduce the results, perform the following steps:

• Install R version 3.6.x or higher by following the instructions at http://www.r-project.org
• From the R environment, install and load the "devtools" package

install.packages("devtools")
library(devtools)

• Install the "informativeDropout" package directly from Github.com

install_github(repo="kreidles/informativeDropout", ref="develop")

• Load the library

library(informativeDropout)

Instructions for replicating results in "A Dirichlet Process Mixture Model for Non-Ignorable Dropout"

Install the informativeDropout package as described above.

Run the DP model demo program

demo(ba_dp_paper)

The demo will run for 200,000 iterations may take up to 24 hours to run, depending on processor speed.

Instructions for replicating results in "A Bayesian Natural Cubic B Spline Varying Coefficient Method for Non-Ignorable Dropout"

Install the informativeDropout package as described above.

Run the DP model demo program

demo(BNSV_paper)

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