Nonparametric ANCOVA Methods R package npANCOVA version 0.2.0 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) <doi:10.1177/0193841X8500900104> and Harwell et al. (1988) <doi:10.1037/0033-2909.104.2.268>. Software Depends: R (>= 4.0) Imports: stats Mina Jahangiri <minajahangiri984@gmail.com> Comprehensive R Archive Network (CRAN) Mina Jahangiri [aut, cre] (ORCID: <https://orcid.org/0000-0001-9119-7571>), Ali Taghavi Rad [aut] (ORCID: <https://orcid.org/0009-0007-5529-8712>), Anoshirvan Kazemnejad [aut] (ORCID: <https://orcid.org/0000-0002-0143-9635>), Keith Goldfeld [ctb] (ORCID: <https://orcid.org/0000-0002-0292-8780>), Shayan Mostafaei [ctb] (ORCID: <https://orcid.org/0000-0002-1966-1306>) GPL-3 2026-07-17 application/tgz https://CRAN.R-project.org/package=npANCOVA doi:10.32614/CRAN.package.npANCOVA