Package: EXRQ 1.0

EXRQ: Extreme Regression of Quantiles

Estimation for high conditional quantiles based on quantile regression.

Authors:Huixia Judy Wang

EXRQ_1.0.tar.gz
EXRQ_1.0.zip(r-4.7-any)EXRQ_1.0.zip(r-4.6-any)EXRQ_1.0.zip(r-4.5-any)
EXRQ_1.0.tgz(r-4.6-any)EXRQ_1.0.tgz(r-4.5-any)
EXRQ_1.0.tar.gz(r-4.7-any)EXRQ_1.0.tar.gz(r-4.6-any)
EXRQ_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EXRQ/json (API)

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

On CRAN:

Conda:

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

1.00 score 10 scripts 301 downloads 10 exports 8 dependencies

Last updated from:cfaff6808a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK105
source / vignettesOK206
linux-releaseOK101
macos-releaseOK189
macos-oldrelOK181
windows-develOK83
windows-releaseOK63
windows-oldrelOK80
wasm-releaseOK80

Exports:est.gamma.funcEstc.funcEVI.CFG.funcPowT.1tau.funcqparetorparetoselect.k.functestC.EVIThreeStageTwoStage

Dependencies:latticeMASSMatrixMatrixModelsmnormtquantregSparseMsurvival