enpls 6.1.1
Improvements
- Use GitHub Actions workflow to build pkgdown website (#2).
- Fix
R CMD check notes for r-devel on the invalid file
URIs in README.md (#2).
enpls 6.1
Improvements
- Switched to the tidyverse code style.
- Updated the vignette style.
- Updated GitHub repository links due to the handle change.
enpls 6.0
Improvements
- New URL for the documentation website: https://nanx.me/enpls/.
enpls 5.9
Improvements
- Use system font stack instead of Google Fonts in vignettes to avoid
pandoc SSL issue.
enpls 5.8
Improvements
- Updated gallery images in
README.md.
- Better code indentation style.
- HTTPS enabled for the website.
enpls 5.7
Improvements
- New documentation website generated by pkgdown, with a full set of
function documentation and vignettes available.
- Added Windows continuous integration support using AppVeyor.
enpls 5.6
New Features
- New argument
cvfolds now available in all applicable
functions for finer control of cross-validation folds in automatic
parameter selection of each PLS/SPLS model.
Improvements
- Critical implementation improvements for processing the case where
argument
maxcomp = NULL (maximum number of components not
specified explicitly) in enpls. functions. Now it should
correctly determine the maximum number of components to use, considering
both cross-validation and special cases such as n < p. Thanks to
Dr. You-Wu Lin for the feedback.
enpls 5.0
New Features
- New functions
enpls.ad() and enspls.ad()
for PLS and sparse PLS model applicability domain evaluation.
- New plot functions
plot.enpls.ad() and
plot.enpls.ad() for exploring model applicability domain
evaluation results with traditional static plot support and interactive
plot support.
- New argument
alpha available for setting transparency
level (to reduce overplotting) in plot.cv.enpls,
plot.enpls.od, plot.cv.enspls, and
plot.enspls.od.
enpls 4.5
Improvements
- Reduced memory footprints for
enpls.fit() and
enspls.fit().
New Features
- New functions
enpls.rmse(), enpls.mae(),
and enpls.rmsle() for computing RMSE, MAE, and RMSLE.
enpls 4.0
Improvements
- General improvements on function documentation.
- Changing the argument name
MCtimes to
reptimes.
- Changing the option name
"bootstrap" to
"boot".
enpls 3.0
New Features
- Add sparse partial least squares regression.
Improvements
- Improvements on documentation; rewritten vignette.
enpls 2.0
New Features
Improvements
- General improvements on plotting functions.
Bug Fixes
- Fixed major bugs in
cv.enpls and plotting
functions.
- Many other bug fixes.
enpls 1.1
Bug Fixes
- Fixed the bugs in automatic component number selection which could
make the intercept-only model rank best. Thanks for the test and patch
from Max Kuhn
<max.kuhn@pfizer.com>.
enpls 1.0
New Features