Package: csampling 1.2-4.1

csampling: Functions for Conditional Simulation in Regression-Scale Models

Implements Monte Carlo conditional inference for the parameters of a linear nonnormal regression model.

Authors:Alessandra R. Brazzale [aut, cre]

csampling_1.2-4.1.tar.gz
csampling_1.2-4.1.zip(r-4.7-any)csampling_1.2-4.1.zip(r-4.6-any)csampling_1.2-4.1.zip(r-4.5-any)
csampling_1.2-4.1.tgz(r-4.6-any)csampling_1.2-4.1.tgz(r-4.5-any)
csampling_1.2-4.1.tar.gz(r-4.7-any)csampling_1.2-4.1.tar.gz(r-4.6-any)
csampling_1.2-4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
csampling/json (API)

# Install 'csampling' in R:
install.packages('csampling', repos = c('https://arbrazzale.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 2 scripts 420 downloads 15 exports 5 dependencies

Last updated from:7651a67de7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK170
source / vignettesOK164
linux-releaseOK159
macos-releaseOK95
macos-oldrelOK88
windows-develOK169
windows-releaseOK170
windows-oldrelOK175
wasm-releaseOK152

Exports:dmth.ch.cch.csh.sLaplaceLaplace.cLaplace.ccLaplace.csLaplace.smake.sample.dataplot.Lapl.contplot.Lapl.splrmtrsm.sample

Dependencies:latticemargMatrixstatmodsurvival