jenniferthompson/ClusterMultinom: Clustered Multinomial Logistic Regression
Version 0.1.0

A suite of functions for extracting results from multinomial logistic regression models when data is clustered (eg, by subject). Models can be fit using sandwich estimation or the bootstrap, and can use complete case analysis or multiple imputation. Results can include odds ratios and confidence limits; predicted probabilities and confidence limits; and p-values for individual variables or groups of variables.

Getting started

Package details

Authorc( person("Jennifer", "Thompson", email = "[email protected]", role = c("aut", "cre")), person("Rameela", "Chandrasekhar", email = "[email protected]", role = c("aut")) )
MaintainerJennifer Thompson <[email protected]>
LicenseMIT
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jenniferthompson/ClusterMultinom")
jenniferthompson/ClusterMultinom documentation built on Sept. 3, 2017, 3:41 a.m.