npANCOVA: 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.

Getting started

Package details

AuthorMina Jahangiri [aut, cre] (ORCID: <https://orcid.org/0000-0001-9119-7571>), Ali Taghavi Rad [aut] (ORCID: <https://orcid.org/0009-0007-5529-8712>), Keith Goldfeld [aut] (ORCID: <https://orcid.org/0000-0002-0292-8780>), Anoshirvan Kazemnejad [ctb] (ORCID: <https://orcid.org/0000-0002-0143-9635>), Shayan Mostafaei [ctb] (ORCID: <https://orcid.org/0000-0002-1966-1306>)
MaintainerMina Jahangiri <minajahangiri984@gmail.com>
LicenseGPL-3
Version0.1.0
URL https://github.com/Mina7Jahangiri7/npANCOVA
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("npANCOVA")

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npANCOVA documentation built on Nov. 9, 2025, 5:06 p.m.