The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

csampling: Functions for Conditional Simulation in Regression-Scale Models

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

Version: 1.2-2.1
Depends: R (≥ 3.0.0), marg, statmod, survival
Published: 2018-04-16
Author: S original by Alessandra R. Brazzale. R port by Alessandra R. Brazzale.
Maintainer: Alessandra R. Brazzale <alessandra.brazzale at unipd.it>
License: GPL-2 | GPL-3 | file LICENCE [expanded from: GPL (≥ 2) | file LICENCE]
URL: https://www.r-project.org, http://statwww.epfl.ch/AA/
NeedsCompilation: no
Citation: csampling citation info
CRAN checks: csampling results

Documentation:

Reference manual: csampling.pdf

Downloads:

Package source: csampling_1.2-2.1.tar.gz
Windows binaries: r-devel: csampling_1.2-2.1.zip, r-release: csampling_1.2-2.1.zip, r-oldrel: csampling_1.2-2.1.zip
macOS binaries: r-release (arm64): csampling_1.2-2.1.tgz, r-oldrel (arm64): csampling_1.2-2.1.tgz, r-release (x86_64): csampling_1.2-2.1.tgz, r-oldrel (x86_64): csampling_1.2-2.1.tgz
Old sources: csampling archive

Reverse dependencies:

Reverse suggests: cond, marg, nlreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=csampling to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.