Changelog

Source: NEWS.md

booklet 1.0.1

• Add new logo (#19)

booklet 1.0.0

CRAN release: 2025-04-24

• Change branding

• Release to CRAN

booklet 0.5.0

• Transform matrix to a “tidyverse” friendly data.frame output (#14)

• Update unit tests for better testing and coverage

• Update vignettes

booklet 0.4.0

• Add all necessary functions to perform Correspondence Analysis (CA) (#9)

• Replace standardize() and standardize_norm() by pca_standardize() and pca_standardize_norm()

• Replace get_eig() and get_weighted_eigen() by pca_eigen() and pca_weighted_eigen()

• Update all unit tests for better testing and coverage

• Update _pkgdown.yml

• facto_pca was updated to return same outputs as FactoMineR::PCA()

• Update CONTRIBUTING.md with coverage testing

booklet 0.3.0

• Add facto_mfa() function to perform Multiple Factor Analysis (MFA) (#7)

• Update unit tests for better testing and coverage

• Update _pkgdown.yml

booklet 0.2.1

• get_weighted_eigen() now returns U matrix as expected (#4)

• pca_ind_coords() & pca_var_coords() return same signs of the corresponding coordinates as FactoMineR.

• facto_pca() has been updated. Now, it returns the same output as FactoMineR::PCA().

booklet 0.2.0

• facto_pca() is a wrapper function that mimics FactoMineR::PCA().

• get_weighted_eigen() calculates the same eigs as FactoMineR, whereas get_eigen() calculates the eigs in the unweighted case.

• eigvalues() and eigvectors() were deprecated.

• pca_var_cos2() now works as expected.

• Comparison.Rmd has been updated allowing to compute either supplementary individual coordinates or supplementary variable coordinates.

booklet 0.1.1

• standardize() now works as expected with scale = FALSE (#1)

• A new argument called weights has been added to get_eigen(), eigvalues() and eigvectors() functions. This argument allows to weight the variables in the PCA.

• standardize_norm() has replaced standardize(type = "norm", ...)

• Codecov badge has been fixed and now use master instead of main branch for coding coverage.

booklet 0.1.0

• get_eig() is a wrapper function that returns eigenvalues and eigenvectors.

• standardize() is a wrapper function that standardizes the data.

• pca_ind_*() allows to compute coordinates, cos2 and contribution for active individuals in PCA.

• pca_var_*() allows to compute coordinates, cos2 and contribution for active variables in PCA.

• Unit tests were designed for functions mentioned above.

• Website was built and deployed using pkgdown.