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npANCOVA (version 0.1.1)

Nonparametric ANCOVA Methods

Description

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) .

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install.packages('npANCOVA')

Monthly Downloads

226

Version

0.1.1

License

GPL-3

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Maintainer

Mina Jahangiri

Last Published

December 20th, 2025

Functions in npANCOVA (0.1.1)

Puri_Sen_MB

Puri and Sen Method with Biased Variance-Covariance Matrix for Nonparametric ANCOVA: Multiple Covariates
Shirley

Shirley Method for Nonparametric ANCOVA
Quade

Quade Method for Nonparametric ANCOVA
npANCOVA

npANCOVA: Nonparametric ANCOVA Methods
Puri_Sen_OB

Puri and Sen Method with Biased Variance-Covariance Matrix for Nonparametric ANCOVA: One Covariate
Harwell_Serlin

Harwell and Serlin Method for Nonparametric ANCOVA
Burnett_Barr

Burnett and Barr Method for Nonparametric ANCOVA
Puri_Sen_OU

Puri and Sen Method with Unbiased Variance-Covariance Matrix for Nonparametric ANCOVA: One Covariate
McSweeny_Porter

McSweeny and Porter Method for Nonparametric ANCOVA
Hettmansperger_McKean

Hettmansperger and McKean Method for ANCOVA
Puri_Sen_MU

Puri and Sen Method with Unbiased Variance-Covariance Matrix for Nonparametric ANCOVA: Multiple Covariates