Package: plaqr 2.0

Adam Maidman

plaqr: Partially Linear Additive Quantile Regression

Estimation, prediction, thresholding, transformation, and plotting for partially linear additive quantile regression. Intuitive functions for fitting and plotting partially linear additive quantile regression models. Uses and works with functions from the 'quantreg' package.

Authors:Adam Maidman [cre, aut]

plaqr_2.0.tar.gz
plaqr_2.0.tar.gz(r-4.5-noble)plaqr_2.0.tar.gz(r-4.4-noble)
plaqr_2.0.tgz(r-4.4-emscripten)plaqr_2.0.tgz(r-4.3-emscripten)
plaqr.pdf |plaqr.html
plaqr/json (API)

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

Peer review:

Datasets:

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

1.30 score 2 stars 8 scripts 130 downloads 7 exports 7 dependencies

Last updated 7 years agofrom:5a81423644. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-linuxOKOct 08 2024

Exports:bicnonlinEffectplaqrpredictIntthresholdtrans_parametertransform_plaqr

Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival