Package: quasar 0.2.1

quasar: Valid Inference on Multiple Quantile Regressions

The approach is based on the closed testing procedure to control familywise error rate in a strong sense. The local tests implemented are Wald-type and rank-score. The method is described in De Santis, et al., (2026), <doi:10.48550/arXiv.2511.07999>.

Authors:Angela Andreella [aut, cre], Anna Vesely [aut], Riccardo De Santis [aut]

quasar_0.2.1.tar.gz
quasar_0.2.1.zip(r-4.7)quasar_0.2.1.zip(r-4.6)quasar_0.2.1.zip(r-4.5)
quasar_0.2.1.tgz(r-4.6-any)quasar_0.2.1.tgz(r-4.5-any)
quasar_0.2.1.tar.gz(r-4.7-any)quasar_0.2.1.tar.gz(r-4.6-any)
quasar_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
quasar/json (API)

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

Bug tracker:https://github.com/angeella/quasar/issues

On CRAN:

Conda:

3.89 score 14 scripts 436 downloads 4 exports 11 dependencies

Last updated from:2a51524f98. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK161
linux-release-x86_64OK131
macos-release-arm64OK77
macos-oldrel-arm64OK132
windows-develOK77
windows-releaseOK75
windows-oldrelOK100
wasm-releaseOK94

Exports:closedTestingrankTestsimulateDatawaldTest

Dependencies:latticeMASSMatrixMatrixModelsmnormtnumDerivpracmaquantregsnSparseMsurvival