Package: enpls 6.1.1

enpls: Ensemble Partial Least Squares Regression

An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Authors:Nan Xiao [aut, cre], Dong-Sheng Cao [aut], Miao-Zhu Li [aut], Qing-Song Xu [aut]

enpls_6.1.1.tar.gz
enpls_6.1.1.zip(r-4.7-any)enpls_6.1.1.zip(r-4.6-any)enpls_6.1.1.zip(r-4.5-any)
enpls_6.1.1.tgz(r-4.6-any)enpls_6.1.1.tgz(r-4.5-any)
enpls_6.1.1.tar.gz(r-4.7-any)enpls_6.1.1.tar.gz(r-4.6-any)
enpls_6.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
enpls/json (API)

# Install 'enpls' in R:

install.packages('enpls', repos = c('https://nanxstats.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nanxstats/enpls/issues

Pkgdown/docs site:https://nanx.me

Datasets:

alkanes - Methylalkanes Retention Index Dataset
logd1k - LogD7.4 Data for 1,000 Compounds

On CRAN:

chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression

5.57 score 18 stars 41 scripts 418 downloads 1 mentions 13 exports 74 dependencies

Last updated from:26d3134a19. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	180
source / vignettes	OK	222
linux-release	OK	171
macos-release	OK	145
macos-oldrel	OK	173
windows-devel	OK	118
windows-release	OK	130
windows-oldrel	OK	120
wasm-release	OK	106

Exports:cv.enpls cv.enspls enpls.ad enpls.fit enpls.fs enpls.mae enpls.od enpls.rmse enpls.rmsle enspls.ad enspls.fit enspls.fs enspls.od

Dependencies:askpass base64enc bslib cachem cli codetools cpp11 crosstalk curl data.table digest doParallel dplyr evaluate farver fastmap fontawesome foreach fs generics ggplot2 glue gtable highr htmltools htmlwidgets httr isoband iterators jquerylib jsonlite knitr labeling later lazyeval lifecycle magrittr MASS memoise mime nnet openssl otel pillar pkgconfig plotly pls plyr promises purrr R6 rappdirs RColorBrewer Rcpp reshape2 rlang rmarkdown S7 sass scales spls stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

A Brief Introduction to enpls

Rendered fromenpls.Rmdusingknitr::rmarkdown

Last update: 2021-12-21
Started: 2016-06-23

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Methylalkanes Retention Index Dataset	alkanes
Cross Validation for Ensemble Partial Least Squares Regression	cv.enpls
Cross Validation for Ensemble Sparse Partial Least Squares Regression	cv.enspls
Ensemble Partial Least Squares for Model Applicability Domain Evaluation	enpls.ad
Ensemble Partial Least Squares Regression	enpls.fit
Ensemble Partial Least Squares for Measuring Feature Importance	enpls.fs
Mean Absolute Error (MAE)	enpls.mae
Ensemble Partial Least Squares for Outlier Detection	enpls.od
Root Mean Squared Error (RMSE)	enpls.rmse
Root Mean Squared Logarithmic Error (RMSLE)	enpls.rmsle
Ensemble Sparse Partial Least Squares for Model Applicability Domain Evaluation	enspls.ad
Ensemble Sparse Partial Least Squares Regression	enspls.fit
Ensemble Sparse Partial Least Squares for Measuring Feature Importance	enspls.fs
Ensemble Sparse Partial Least Squares for Outlier Detection	enspls.od
logD7.4 Data for 1,000 Compounds	logd1k
Plot cv.enpls object	plot.cv.enpls
Plot cv.enspls object	plot.cv.enspls
Plot enpls.ad object	plot.enpls.ad
Plot enpls.fs object	plot.enpls.fs
Plot enpls.od object	plot.enpls.od
Plot enspls.ad object	plot.enspls.ad
Plot enspls.fs object	plot.enspls.fs
Plot enspls.od object	plot.enspls.od
Make Predictions from a Fitted Ensemble Partial Least Squares Model	predict.enpls.fit
Make Predictions from a Fitted Sparse Ensemble Partial Least Squares Model	predict.enspls.fit
Print cv.enpls Object	print.cv.enpls
Print cv.enspls Object	print.cv.enspls
Print enpls.ad Object	print.enpls.ad
Print Fitted Ensemble Partial Least Squares Object	print.enpls.fit
Print enpls.fs Object	print.enpls.fs
Print enpls.od Object	print.enpls.od
Print enspls.ad Object	print.enspls.ad
Print Fitted Ensemble Sparse Partial Least Squares Object	print.enspls.fit
Print enspls.fs Object	print.enspls.fs
Print enspls.od Object	print.enspls.od