Package: MOutliers
Title: Multivariate Outlier Detection Methods
Version: 0.1.1
Authors@R: 
    c(
      person(
        "Senuri", "Yasara",
        email = "senuriyasara@gmail.com",
        role = c("aut", "cre")
      ),
      person(
        "Pavanthi", "Sudasinghe",
        email = "pavanthisppm@gmail.com",
        role = "aut"
      )
    )
Description: Provides methods for detecting multivariate outliers in numeric datasets. The package implements classical Mahalanobis distance, robust Minimum Covariance Determinant (MCD), and Principal Component Analysis (PCA)-based approaches. Visualization functions are included to aid interpretation of detected outliers. Mahalanobis distance calculations are accelerated using 'C++' through 'Rcpp'.
URL:
        https://github.com/SenuYasara/Multivariate_Outlier_Detection_R_Package
BugReports: https://github.com/SenuYasara/Multivariate_Outlier_Detection_R_Package/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp
Imports: Rcpp, stats, MASS, ggplot2, gridExtra, cowplot, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-07 06:37:57 UTC; pavan
Author: Senuri Yasara [aut, cre],
  Pavanthi Sudasinghe [aut]
Maintainer: Senuri Yasara <senuriyasara@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-15 12:00:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-06-15 13:24:03 UTC; unix
Archs: MOutliers.so.dSYM
