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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 |
| 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 |
| Reference manual: | npANCOVA.html , npANCOVA.pdf |
| 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 |
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