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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "EasyPCA" in publications use:'
type: software
license: GPL-3.0-only
title: 'EasyPCA: Principal Component Analysis with Automated Interpretation and Visualization'
version: 0.1.1
doi: 10.32614/CRAN.package.EasyPCA
abstract: 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) <https://doi.org/10.1007/s12665-024-11985-5>.
authors:
- family-names: Shankar
  given-names: S. Vishnu
  email: S.vishnushankar55@gmail.com
- family-names: Lavanya
  given-names: V.
- family-names: Rathod
  given-names: Santosha
- family-names: Ray
  given-names: Mrinmoy
- family-names: Kumar
  given-names: Anil
- family-names: Kannan
  given-names: Balaji
repository: https://vishnumrstat.r-universe.dev
commit: 6cfa63e544df0150f8271f4ba24896f94bde9dab
date-released: '2026-08-30'
contact:
- family-names: Shankar
  given-names: S. Vishnu
  email: S.vishnushankar55@gmail.com