Changelog
Source:NEWS.md
enpls 6.0 (2018-05-13)
CRAN release: 2018-05-13
Improvements
- New URL for the documentation website: https://nanx.me/enpls/.
enpls 5.6 (2016-11-25)
CRAN release: 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) inenpls.
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 (2016-10-20)
CRAN release: 2016-10-25
New Features
- New functions
enpls.ad()
andenspls.ad()
for PLS and sparse PLS model applicability domain evaluation. - New plot functions
plot.enpls.ad()
andplot.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) inplot.cv.enpls
,plot.enpls.od
,plot.cv.enspls
, andplot.enspls.od
.
enpls 4.5 (2016-09-15)
CRAN release: 2016-09-15
Improvements
- Reduced memory footprints for
enpls.fit()
andenspls.fit()
.
New Features
- New functions
enpls.rmse()
,enpls.mae()
, andenpls.rmsle()
for computing RMSE, MAE, and RMSLE.
enpls 1.1 (2015-11-26)
CRAN release: 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 <max.kuhn@pfizer.com>.