Package: modQR 0.1.3

Pavel Boček

modQR: Multiple-Output Directional Quantile Regression

Contains basic tools for performing multiple-output quantile regression and computing regression quantile contours by means of directional regression quantiles. In the location case, one can thus obtain halfspace depth contours in two to six dimensions. Hallin, M., Paindaveine, D. and Šiman, M. (2010) Multivariate quantiles and multiple-output regression quantiles: from L1 optimization to halfspace depth. Annals of Statistics 38, 635-669 For more references about the method, see Help pages.

Authors:Miroslav Šiman [aut], Pavel Boček [aut, cre]

modQR_0.1.3.tar.gz
modQR_0.1.3.tar.gz(r-4.5-noble)modQR_0.1.3.tar.gz(r-4.4-noble)
modQR_0.1.3.tgz(r-4.4-emscripten)modQR_0.1.3.tgz(r-4.3-emscripten)
modQR.pdf |modQR.html
modQR/json (API)

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

Peer review:

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

1.00 score 5 scripts 599 downloads 7 exports 7 dependencies

Last updated 3 years agofrom:b7e38c7559. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-linuxOKNov 15 2024

Exports:compContourM1ucompContourM2uevalContourgetCharSTM1ugetCharSTM2ugetCTechSTM1ugetCTechSTM2u

Dependencies:abindgeometrylinproglpSolvemagicRcppRcppProgress