Uses a Bayesian model to estimate the variability in a repeated measure outcome and use that as an outcome or a predictor in a second stage model.
varian is a free, open source
R package for variability
analysis using Bayesian inference.
It provides a formula interface in
R to define a multilevel model
for a variable with repeated measures, in addition to standard
multilevel features such as fixed effects and a random
intercepts/slopes, the residual variance is a random variable by
ID. The latent residual variance estimates are then used as
predictors in a regression of another outcome.
At its core,
Stan to estimate the
R version 3.1.1 or later is required. You can download the latest
Stan and the
varian package rely on being able to compile
rstanprovide more details.
Install the latest version of the
package, which you can do from CRAN now. That page also lists more
detailed directions for getting the necessary tools installed.
```R install.packages("rstan", dependencies = TRUE) ```
You can install:
the latest stable release (0.2.2) from CRAN
install.packages("varian", dependencies = TRUE)
the latest development version from github
See our open access pre-print on the arXiv http://arxiv.org/abs/1411.2961.
If you find a bug or have a feature request, please let us know on the issue tracker: https://github.com/ElkhartGroup/varian/issues.
Have questions or need support? Email us at firstname.lastname@example.org and mention "varian" in the subject.