Package: PLSiMCpp 1.0.4

Shunyao Wu

PLSiMCpp: Methods for Partial Linear Single Index Model

Estimation, hypothesis tests, and variable selection in partially linear single-index models. Please see H. (2010) at <doi:10.1214/10-AOS835> for more details.

Authors:Shunyao Wu, Qi Zhang, Zhiruo Li, Hua Liang

PLSiMCpp_1.0.4.tar.gz
PLSiMCpp_1.0.4.tar.gz(r-4.5-noble)PLSiMCpp_1.0.4.tar.gz(r-4.4-noble)
PLSiMCpp_1.0.4.tgz(r-4.4-emscripten)PLSiMCpp_1.0.4.tgz(r-4.3-emscripten)
PLSiMCpp.pdf |PLSiMCpp.html✨
PLSiMCpp/json (API)

# Install 'PLSiMCpp' in R:
install.packages('PLSiMCpp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 stars 1 scripts 195 downloads 9 exports 10 dependencies

Last updated 2 years agofrom:bf0a5b7bc3. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 11 2024
R-4.5-linux-x86_64NOTEOct 11 2024

Exports:plsim.bwplsim.estplsim.iniplsim.lamplsim.MAVEplsim.npTestplsim.pTestplsim.vs.hardplsim.vs.soft

Dependencies:clicrayongluelifecyclemagrittrpurrrRcppRcppArmadillorlangvctrs

Readme and manuals

Help Manual

Help pageTopics
select bandwidthbwsel_Core bwsel_new.CrossValidation bwsel_new.default deal_formula plsim.bw plsim.bw.default plsim.bw.formula summary.pls
Profile Least Squares Estimatorplsim.est plsim.est.default plsim.est.formula
Initialize coefficientsplsim.ini plsim.ini.default plsim.ini.formula
Select lambda for Penalized Profile Least Squares Estimatorplsim.lam plsim.lam.default plsim.lam.formula
Minimum Average Variance Estimationplsim.MAVE plsim.MAVE.default plsim.MAVE.formula
Testing nonparametric componentplsim.npTest
Testing Parametric Componentsplsim.pTest
Variable Selection for Partial Linear Single Index ModelsdropOneVar plsim.vs.hard plsim.vs.hard.default plsim.vs.hard.formula stepWise varSelCore varSelCore.PPLSE varSelCore.StepWise
Penalized Profile Least Squares Estimatorplsim.vs.soft plsim.vs.soft.default plsim.vs.soft.formula
Predict according to the Estimated Parameterspredict.pls