Package: qrjoint 2.1-0

Surya Tokdar

qrjoint: Joint Estimation in Linear Quantile Regression

Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.

Authors:Surya Tokdar [aut, cre], Erika Cunningham [aut]

qrjoint_2.1-0.tar.gz
qrjoint_2.1-0.zip(r-4.7-x86_64)qrjoint_2.1-0.zip(r-4.7-arm64)qrjoint_2.1-0.zip(r-4.6-x86_64)qrjoint_2.1-0.zip(r-4.6-arm64)
qrjoint_2.1-0.tar.gz(r-4.7-arm64)qrjoint_2.1-0.tar.gz(r-4.7-x86_64)qrjoint_2.1-0.tar.gz(r-4.6-arm64)qrjoint_2.1-0.tar.gz(r-4.6-x86_64)
qrjoint_2.1-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
qrjoint/json (API)

# Install 'qrjoint' in R:
install.packages('qrjoint', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • plasma - Plasma Concentration of Beta-Carotene and Retinol
  • redmaple - Basal Areas of Red Maple Trees

On CRAN:

Conda:

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

openblascpp

1.08 score 12 scripts 445 downloads 5 exports 11 dependencies

Last updated from:002edfa333. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK156
source / vignettesOK156
linux-release-arm64OK109
linux-release-x86_64OK134
windows-devel-arm64OK220
windows-devel-x86_64OK178
windows-release-arm64OK258
windows-release-x86_64OK144
wasm-releaseOK106

Exports:chull.centergetBandsqdeqrjointwaic

Dependencies:codakernlablatticeMASSMatrixMatrixModelsquantregRcppRcppArmadilloSparseMsurvival