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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.

Version: 0.1.0
Depends: R (≥ 4.0)
Imports: stats
Published: 2025-11-09
DOI: 10.32614/CRAN.package.npANCOVA (may not be active yet)
Author: Mina Jahangiri ORCID iD [aut, cre], Ali Taghavi Rad ORCID iD [aut], Keith Goldfeld ORCID iD [aut], Anoshirvan Kazemnejad ORCID iD [ctb], Shayan Mostafaei ORCID iD [ctb]
Maintainer: Mina Jahangiri <minajahangiri984 at gmail.com>
BugReports: https://github.com/Mina7Jahangiri7/npANCOVA/issues
License: GPL-3
URL: https://github.com/Mina7Jahangiri7/npANCOVA
NeedsCompilation: no
CRAN checks: npANCOVA results

Documentation:

Reference manual: npANCOVA.html , npANCOVA.pdf

Downloads:

Package source: npANCOVA_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: npANCOVA_0.1.0.zip
macOS binaries: r-release (arm64): npANCOVA_0.1.0.tgz, r-oldrel (arm64): npANCOVA_0.1.0.tgz, r-release (x86_64): npANCOVA_0.1.0.tgz, r-oldrel (x86_64): npANCOVA_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.