Package: ugomquantreg 1.0.0

ugomquantreg: Quantile Regression Modeling for Unit-Gompertz Responses

Unit-Gompertz density, cumulative distribution, quantile functions and random deviate generation of the unit-Gompertz distribution. In addition, there are a function for fitting the Generalized Additive Models for Location, Scale and Shape.

Authors:Josmar Mazucheli [aut, cre], Bruna Alves [ctb]

ugomquantreg_1.0.0.tar.gz
ugomquantreg_1.0.0.zip(r-4.7-x86_64)ugomquantreg_1.0.0.zip(r-4.6-x86_64)ugomquantreg_1.0.0.zip(r-4.5-x86_64)
ugomquantreg_1.0.0.tgz(r-4.6-x86_64)ugomquantreg_1.0.0.tgz(r-4.6-arm64)ugomquantreg_1.0.0.tgz(r-4.5-x86_64)ugomquantreg_1.0.0.tgz(r-4.5-arm64)
ugomquantreg_1.0.0.tar.gz(r-4.7-arm64)ugomquantreg_1.0.0.tar.gz(r-4.7-x86_64)ugomquantreg_1.0.0.tar.gz(r-4.6-arm64)ugomquantreg_1.0.0.tar.gz(r-4.6-x86_64)
ugomquantreg_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ugomquantreg/json (API)

# Install 'ugomquantreg' in R:
install.packages('ugomquantreg', repos = c('https://jmazucheli.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • ammonia - Ammonia oxidized to acid nitric data set
  • bodyfat - Percentage of body fat data set

On CRAN:

Conda:

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

cpp

1.00 score 339 downloads 5 exports 10 dependencies

Last updated from:819888fcee. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK151
linux-devel-x86_64OK131
source / vignettesOK156
linux-release-arm64OK170
linux-release-x86_64OK126
macos-release-arm64OK213
macos-release-x86_64OK317
macos-oldrel-arm64OK224
macos-oldrel-x86_64OK305
windows-develOK105
windows-releaseOK122
windows-oldrelOK106
wasm-releaseOK135

Exports:dUGOMpUGOMqUGOMrUGOMUGOM

Dependencies:gamlssgamlss.datagamlss.distlatticeMASSMatrixnlmepracmaRcppsurvival