spca 1.1.0
Major changes
- Added projection SPCA (
method = "pspca"), including a
new C++ implementation.
- Added a dedicated C++ backend for fat matrices, where the number of
variables exceeds the number of observations.
- Redesigned the C++ tall-matrix engine for improved speed, memory
use, and maintainability.
- Refactored the C++ codebase so large objects are passed by reference
where appropriate.
- Added
try/catch wrappers around the main
C++ entry points to improve error reporting from compiled code.
R interface
- Reworked the main
spca() interface while preserving the
core LS-SPCA workflow.
- Rewrote
plot.spca() with improved bar plots, circular
plots, heat maps, grouping support, and plotting controls.
- Rewrote
new_spca() to make externally computed sparse
loading matrices easier to store and inspect as spca
objects.
- Improved printing and summary methods for
spca
objects.
- Improved comparison tools for multiple sparse PCA fits.
- Added or revised helper functions for grouped summaries,
diagnostics, and validation.
Reliability and testing
- Added a
testthat test suite.
- Fixed multiple issues in the R interface and C++ backend.
- Improved input validation and error messages.
- Fixed edge cases affecting sparse loadings, component summaries, and
variance-explained diagnostics.
Documentation
- Rewrote and expanded the package documentation.
- Rewrote the vignettes for the revamped package.
- Updated examples to reflect the current interface and available
LS-SPCA methods.
- Added documentation for projection SPCA and the tall/fat backend
distinction.
spca 1.0.0
Major rewrite
- First full release of the revamped
spca package.
- Replaced the previous computational core with a new C++
backend.
- Added separate computational paths for tall and fat data
matrices.
- Added projection SPCA as a new LS-SPCA method.
- Updated the package interface to support the redesigned
backend.
Package structure
- Reorganized internal R and C++ code.
- Improved consistency of returned
spca objects.
- Updated exported functions and methods to use a common object
structure.
- Added tests and revised examples for the new implementation.
spca 0.9.0
Development release
- Introduced the new C++ tall-matrix engine.
- Began migration of computational routines from the earlier
implementation to the redesigned backend.
- Added preliminary support for projection SPCA.
- Improved memory handling in compiled code.
- Updated internal validation routines.
spca 0.8.0
Development release
- Reworked plotting methods for
spca objects.
- Added improved graphical comparison of loadings and
contributions.
- Added support for grouped variables in summaries and plots.
- Revised helper functions used by examples and vignettes.
- Improved documentation of sparse loadings, contributions, VEXP,
CVEXP, and component correlations.
spca 0.7.0
Development release
- Began the package revamp following version 0.6.0.
- Reorganized the R interface around fitted
spca
objects.
- Improved print and summary output.
- Added early validation and diagnostic improvements.
- Fixed several bugs from the previous CRAN release.
spca 0.6.0