Package: QRegVCM 1.2

"Andriyana.Y"

QRegVCM: Quantile Regression in Varying-Coefficient Models

Quantile regression in varying-coefficient models (VCM) using one particular nonparametric technique called P-splines. The functions can be applied on three types of VCM; (1) Homoscedastic VCM, (2) Simple heteroscedastic VCM, and (3) General heteroscedastic VCM.

Authors:'Andriyana, Y.' [aut, cre], 'Ibrahim M. A.' [aut], 'Gijbels, I.' [ctb], 'Verhasselt A.' [ctb]

QRegVCM_1.2.tar.gz
QRegVCM_1.2.tar.gz(r-4.5-noble)QRegVCM_1.2.tar.gz(r-4.4-noble)
QRegVCM_1.2.tgz(r-4.4-emscripten)QRegVCM_1.2.tgz(r-4.3-emscripten)
QRegVCM.pdf |QRegVCM.html
QRegVCM/json (API)

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

Peer review:

Datasets:
  • CD4 - The CD4 dataset
  • wages - The wages dataset

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

1.04 score 1 stars 11 scripts 144 downloads 8 exports 16 dependencies

Last updated 7 years agofrom:1231f31410. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-linuxNOTENov 10 2024

Exports:AHeVTAHeVXTQRIndivQRSimulQRStepwiseQRWSimulsimul_shapetesttest_variability

Dependencies:bootdigestgenericslatticeMASSMatrixMatrixModelsmaxLikmiscToolsquantregsandwichSparseMsurvivaltruncregtruncSPzoo