Other packages > Find by keyword >

ddsPLS  

Data-Driven Sparse Partial Least Squares
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ddsPLS", "1.2.1")



Attach the package and use:
library("ddsPLS")
Maintained by
Hadrien Lorenzo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-19
Latest Update: 2024-01-30
Description:
A sparse Partial Least Squares implementation which uses soft-threshold estimation of the covariance matrices and therein introduces sparsity. Number of components and regularization coefficients are automatically set.
How to cite:
Hadrien Lorenzo (2018). ddsPLS: Data-Driven Sparse Partial Least Squares. R package version 1.2.1, https://cran.r-project.org/web/packages/ddsPLS. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2018-09-19 17:10), 1.0.1 (2018-10-12 09:40), 1.0.2 (2018-11-06 15:40), 1.0.3 (2018-11-09 15:20), 1.0.4 (2018-11-29 14:00), 1.0.5 (2018-12-05 10:40), 1.0.51 (2019-01-03 11:00), 1.0.52 (2019-01-03 17:10), 1.0.53 (2019-01-08 10:50), 1.0.61 (2019-01-21 11:20), 1.0.91 (2019-08-28 16:00), 1.1.1 (2019-09-26 17:30), 1.1.4 (2020-03-02 12:20), 1.2.0 (2023-05-15 10:20)
Other packages that cited ddsPLS R package
View ddsPLS citation profile
Other R packages that ddsPLS depends, imports, suggests or enhances
Complete documentation for ddsPLS
Functions, R codes and Examples using the ddsPLS R package
Some associated functions: bootstrapWrap . bootstrap_Rcpp . ddsPLS . ddsPLS_App . modelddsPLSCpp_Rcpp . plot.ddsPLS . predict.ddsPLS . print.ddsPLS . summary.ddsPLS . 
Some associated R codes: RcppExports.R . app.R . ddspls.R . plot.ddsPLS.R . predict.ddsPLS.R . summary.ddsPLS.R .  Full ddsPLS package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA