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R Development Page

Contributed R Packages

Below is a list of all packages provided by project prefmod - analysis of preferences.

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

prefmod

Utilities to Fit Paired Comparison Models for Preferences

  Generates design matrix for analysing real paired comparisons and derived paired comparison data (Likert type items/ratings or rankings) using a loglinear approach. Fits loglinear Bradley-Terry model (LLBT) exploiting an eliminate feature. Computes pattern models for paired comparisons, rankings, and ratings. Some treatment of missing values (MCAR and MNAR). Fits latent class (mixture) models for paired comparison, rating and ranking patterns using a non-parametric ML approach.
  Version: 0.8-34 | Last change: 2017-09-15 12:29:42+02 | Rev.: 285
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get prefmod 0.8-34 from CRAN
  R install command: install.packages("prefmod", 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)


prefmod2

Paired Comparison Models for Preferences

  Unstable development follow-up package to "prefmod" for modelling preferences.
  Version: 0.1-0 | Last change: 2009-11-04 12:42:15+01 | Rev.: 77
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("prefmod2", 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)


psychotree

Recursive Partitioning Based on Psychometric Models

  Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees.
  Version: 0.15-2 | Last change: 2018-07-02 09:29:56+02 | Rev.: 292
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get psychotree 0.15-1 from CRAN
  R install command: install.packages("psychotree", 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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