Nonparametric ANCOVA Methods

Nonparametric methods for analysis of covariance (ANCOVA) are distribution-free and provide a flexible statistical framework for situations where the assumptions of parametric ANCOVA are violated or when the response variable is ordinal. This package implements several well-known nonparametric ANCOVA procedures, including Quade, Puri and Sen, McSweeney and Porter, Burnett and Barr, Hettmansperger and McKean, Shirley, and Puri-Sen-Harwell-Serlin. The package provides user-friendly functions to apply these methods in practice. These methods are described in Olejnik et al. (1985) and Harwell et al. (1988) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("npANCOVA")

0.2.0 by Mina Jahangiri, 3 months ago


https://github.com/MinaJahangiri/npANCOVA


Report a bug at https://github.com/MinaJahangiri/npANCOVA/issues


Browse source code at https://github.com/cran/npANCOVA


Authors: Mina Jahangiri [aut, cre] (ORCID: , Ali Taghavi Rad [aut] , Anoshirvan Kazemnejad [aut] (ORCID: , Keith Goldfeld [ctb] , Shayan Mostafaei [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports stats


See at CRAN