Package: EasyPCA
Type: Package
Title: Principal Component Analysis with Automated Interpretation and
        Visualization
Version: 0.1.1
Authors@R: c(person(given = "S. Vishnu", family = "Shankar", email = "S.vishnushankar55@gmail.com", role = c("aut", "cre")), person(given = "V.", family = "Lavanya", role = "aut"), person(given = "Santosha", family = "Rathod", role = "aut"), person(given = "Mrinmoy", family = "Ray", role = "aut"), person(given = "Anil", family = "Kumar", role = "aut"), person(given = "Balaji", family = "Kannan", role = "aut"))
Description: Provides an automated workflow for Principal Component Analysis (PCA)
   that simplifies multivariate data analysis by performing
   essential preprocessing, statistical tests, component extraction,
   and visualization in a single function call. The package automatically
   standardizes variables, computes correlation matrices,
   performs Kaiser-Meyer-Olkin (KMO) and Bartlett's tests, determines
   the optimal number of principal components using multiple selection
   criteria, generates component loadings and scores, and produces
   publication-ready tables and graphical outputs for researchers and students.
   Methodological background is described in Shankar et al. (2024) <doi:10.1007/s12665-024-11985-5>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, ggcorrplot, corrplot, psych, factoextra, stats,
        graphics, utils
NeedsCompilation: no
Config/roxygen2/version: 8.1.0
Packaged: 2026-08-21 14:17:55 UTC; JARVIS
Author: S. Vishnu Shankar [aut, cre],
  V. Lavanya [aut],
  Santosha Rathod [aut],
  Mrinmoy Ray [aut],
  Anil Kumar [aut],
  Balaji Kannan [aut]
Maintainer: S. Vishnu Shankar <S.vishnushankar55@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-30 10:00:22 UTC
Built: R 4.5.2; ; 2026-08-30 13:52:52 UTC; unix
