jenniferthompson/ClusterBootMultinom: Multinomial Logistic Regression Using Clustered Bootstrapping
Version 0.0.0.9000

Created to handle multinomial logistic regression for correlated data using clustered bootstrapping. Functions to create bootstrapped data sets from an original data frame; fit multinomial regression models to those data sets using vglm(); and calculate and plot odds ratios, predicted probabilities, 95% confidence limits, and Wald p-values from resulting model estimates.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.0.0.9000
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/ClusterBootMultinom")
jenniferthompson/ClusterBootMultinom documentation built on May 17, 2017, 5:08 p.m.