SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project BayesR: Bayesian Regression.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

BayesX

R Utilities Accompanying the Software Package BayesX

  Functions for exploring and visualising estimation results obtained with BayesX, a free software for estimating structured additive regression models (). In addition, functions that allow to read, write and manipulate map objects that are required in spatial analyses performed with BayesX.
  Version: 0.3-4 | Last change: 2023-10-20 08:15:36+02 | Rev.: 4598
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get BayesX 0.3-3 from CRAN
  R install command: install.packages("BayesX", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


BayesXdev

R Package Distribution of the BayesX C++ Development Sources

  BayesX performs Bayesian inference in structured additive regression (STAR) models. The R package BayesXdev provides the development version of BayesX command line tool for easy installation. The stable version is interfaced in BayesXsrc and a convenient R interface is provided in package R2BayesX.
  Version: 3.1-0 | Last change: 2016-08-16 10:20:57+02 | Rev.: 1941
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("BayesXdev", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


BayesXsrc

Distribution of the BayesX C++ Sources

  BayesX performs Bayesian inference in structured additive regression (STAR) models. The R package BayesXsrc provides the BayesX command line tool for easy installation. A convenient R interface is provided in package R2BayesX.
  Version: 3.0-5 | Last change: 2024-03-15 10:34:28+01 | Rev.: 4630
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get BayesXsrc 3.0-5 from CRAN
  R install command: install.packages("BayesXsrc", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


FlashAustria

Data and Model for Reanalyzing Flash Counts in Austria

  Lightning discharges counted on 32 x 32 sq-km grid over Austria, Europe, for the years 2010--2018 and the months May--August. A subset of atmospheric parameters from the fifth ECMWF re-analysis (ERA5) interpolated nearest neighbour method to the grid of the counted lightning discharges.
  Version: 0.4-2 | Last change: 2021-11-03 18:38:28+01 | Rev.: 4223
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("FlashAustria", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


JMbamlss

Multivariate Joint Models with bamlss

  Multivariate joint models of longitudinal and time-to-event data based on functional principal components implemented with bamlss.
  Version: 0.1.0 | Last change: 2023-11-23 11:41:38+01 | Rev.: 4620
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build
  R install command: install.packages("JMbamlss", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


R2BayesX

Estimate Structured Additive Regression Models with BayesX

  An R interface to estimate structured additive regression (STAR) models with BayesX.
  Version: 1.1-5 | Last change: 2023-10-20 08:10:19+02 | Rev.: 4597
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get R2BayesX 1.1-5 from CRAN
  R install command: install.packages("R2BayesX", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


bamlss

Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

  Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019) and the R package in Umlauf, Klein, Simon, Zeileis (2021) .
  Version: 1.2-3 | Last change: 2024-03-21 12:57:05+01 | Rev.: 4641
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get bamlss 1.2-3 from CRAN
  R install command: install.packages("bamlss", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

Build status codes

0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
3 - Failed to build: the package failed to build or did not pass the checks on the Linux and/or Windows platform. It is not made available since it does not meet the policies.
4 - Conflicts: two or more packages of the same name exist. None of them will be built. Maintainers are asked to negotiate further actions.
5 - Offline: the package is not available. The build system may be offline or the package maintainer did not trigger a rebuild (done e.g., via committing to the package repository).

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