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fxTWAPLS  

An Improved Version of WA-PLS
View on CRAN: Click here


Download and install fxTWAPLS package within the R console
Install from CRAN:
install.packages("fxTWAPLS")

Install from Github:
library("remotes")
install_github("cran/fxTWAPLS")

Install by package version:
library("remotes")
install_version("fxTWAPLS", "0.1.3")



Attach the package and use:
library("fxTWAPLS")
Maintained by
Roberto Villegas-Diaz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-13
Latest Update: 2024-06-25
Description:
The goal of this package is to provide an improved version of WA-PLS (Weighted Averaging Partial Least Squares) by including the tolerances of taxa and the frequency of the sampled climate variable. This package also provides a way of leave-out cross-validation that removes both the test site and sites that are both geographically close and climatically close for each cycle, to avoid the risk of pseudo-replication.
How to cite:
Roberto Villegas-Diaz (2020). fxTWAPLS: An Improved Version of WA-PLS. R package version 0.1.3, https://cran.r-project.org/web/packages/fxTWAPLS. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:40), 0.0.2 (2020-10-13 16:50), 0.0.3 (2020-10-27 09:00), 0.0.4 (2020-11-10 10:10), 0.0.5 (2021-01-29 13:10), 0.0.6 (2021-04-24 20:00), 0.0.7 (2021-09-01 10:10), 0.1.0 (2022-01-17 04:22), 0.1.1 (2022-06-07 01:30), 0.1.2 (2022-11-25 17:40)
Other packages that cited fxTWAPLS R package
View fxTWAPLS citation profile
Other R packages that fxTWAPLS depends, imports, suggests or enhances
Complete documentation for fxTWAPLS
Functions, R codes and Examples using the fxTWAPLS R package
Some associated functions: TWAPLS.predict.w . TWAPLS.w . TWAPLS.w2 . WAPLS.predict.w . WAPLS.w . WAPLS.w2 . cv.pr.w . cv.w . fx . fxTWAPLS-package . fx_pspline . get_distance . get_pseudo . pb . plot_residuals . plot_train . rand.t.test.w . sse.sample . 
Some associated R codes: fxTWAPLS.R . utils.R .  Full fxTWAPLS package functions and examples
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Maintainer: Yi Liu (view profile)

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