NEWS
enpls 6.1 (2019-05-18)
Improvements
- Switched to the tidyverse code style.
- Updated the vignette style.
- Updated GitHub repository links due to the handle change.
enpls 6.0 (2018-05-13)
Improvements
- New URL for the documentation website: https://nanx.me/enpls/.
enpls 5.9 (2017-09-27)
Improvements
- Use system font stack instead of Google Fonts in vignettes to avoid pandoc SSL issue.
enpls 5.8 (2017-03-25)
Improvements
- Updated gallery images in
README.md.
- Better code indentation style.
- HTTPS enabled for the website.
enpls 5.7 (2017-01-05)
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 (2016-11-26)
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 (2016-10-25)
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 (2016-09-15)
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 (2016-08-29)
Improvements
- General improvements on function documentation.
- Changing the argument name
MCtimes to reptimes.
- Changing the option name
"bootstrap" to "boot".
enpls 3.0 (2016-06-29)
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 (2015-11-27)
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 <[email protected]>.
enpls 1.0 (2014-10-03)
New Features