chvrngit/wmpvaer: R Package, Multivariate p-Value Estimation: MANOVA,Block Independence & Bartlett's M ECM Test,Plus 1-Way MANOVA Study Design

Using content generated by R's MANOVA function, creates high precision power and p-values for the Wilks Lambda Statistic using the Butler/Wood Algorithm (Butler, R.W. and Wood, A.T.A."Approximation of Power in Multivariate Analysis" in Statistics and Computing Vol. 15,pp. 281-287,2005 <doi:10.1007/s11222-005-4071-x>).In addition provides an S4 object that computes these same statistics useful in evaluating multiple dependent variables models created by other R programs. In a second and third part, computes the likelihood ratio statistic for block independence and equivalence of covariance matrices along with p-values using other Butler/Wood methods. In a fourth part, computes a sample size estimate for 1-way MANOVA using the Wilks Lambda statistic and Butler/Wood algorithm.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.1
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("chvrngit/wmpvaer")
chvrngit/wmpvaer documentation built on Jan. 15, 2019, 9:12 a.m.