Package: qcauchyreg 1.0

qcauchyreg: Quantile Regression Quasi-Cauchy

Quasi-Cauchy quantile regression, proposed by de Oliveira, Ospina, Leiva, Figueroa-Zuniga and Castro (2023) <doi:10.3390/fractalfract7090667>. This regression model is useful for the case where you want to model data of a nature limited to the intervals [0,1], (0,1], [0,1) or (0,1) and you want to use a quantile approach.

Authors:Jose Sergio Case de Oliveira [aut, cre]

qcauchyreg_1.0.tar.gz
qcauchyreg_1.0.zip(r-4.7)qcauchyreg_1.0.zip(r-4.6)qcauchyreg_1.0.zip(r-4.5)
qcauchyreg_1.0.tgz(r-4.6-any)qcauchyreg_1.0.tgz(r-4.5-any)
qcauchyreg_1.0.tar.gz(r-4.7-any)qcauchyreg_1.0.tar.gz(r-4.6-any)
qcauchyreg_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
qcauchyreg/json (API)

# Install 'qcauchyreg' in R:

install.packages('qcauchyreg', repos = c('https://jsergioco.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

Democratization - Estimation of Democratization Index
Poverty - Percentage of extremely poor.

On CRAN:

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

1.00 score 183 downloads 1 exports 7 dependencies

Last updated from:2f93415314. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	157
source / vignettes	OK	144
linux-release-x86_64	OK	113
macos-release-arm64	OK	209
macos-oldrel-arm64	OK	238
windows-devel	OK	67
windows-release	OK	67
windows-oldrel	OK	63
wasm-release	OK	91