https://github.com/centerforstatistics-ugent/pim

R package for probabilistic index models
https://github.com/centerforstatistics-ugent/pim

modelling r-package statistics

Last synced: 20 days ago
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R package for probabilistic index models

• Host: GitHub
• URL: https://github.com/centerforstatistics-ugent/pim
• Owner: CenterForStatistics-UGent
• Created: 2017-08-24T10:56:32.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2025-01-07T09:15:20.000Z (about 1 year ago)
• Last Synced: 2025-12-09T07:57:57.712Z (3 months ago)
• Topics: modelling, r-package, statistics
• Language: R
• Size: 174 KB
• Stars: 10
• Watchers: 2
• Forks: 5
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS

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README

          
pim package

================

[![Build\_Status](https://travis-ci.org/CenterForStatistics-UGent/pim.svg?branch=master)](https://travis-ci.org/CenterForStatistics-UGent/pim) [![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/pim)](http://cran.r-project.org/package=pim)

Overview

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pim is a package providing probabilistix index models in R, and is available on CRAN. The stable release can be installed using `install.packages("pim")`. The updated stable version in this repo can be installed using the `devtools` package.

    devtools::install_github("CenterForStatistics-UGent/pim")

If you want to install the development version in the branch `devel`, you can use:

    devtools::install_github("CenterForStatistics-UGent/pim", ref = "devel")

Older versions

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The current version of the pim package works differently from the example code used in the original publications. The current package provides extensive help pages and a vignette you can use as a reference. With `vignette("pim")` you'll open a PDF with this reference material.

If you insist on trying the old version, you can find this on the [R-Forge repository](https://r-forge.r-project.org/R/?group_id=1120). The R-Forge repository is maintained solely for legacy reasons, but no longer actively used for development. Unless you have a very good reason to do so, we strongly encourage you to use the stable version on CRAN or the development version here on github.

References

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The methodology is described in the following paper:

Thas O, De Neve J, Clement L and Ottoy J (2012). “Probabilistic Index Models.” *Journal of the Royal Statistical Society B*, **74**(4), pp. 623-671. [doi: 10.1111/j.1467-9868.2011.01020.x](https://doi.org/10.1111/j.1467-9868.2011.01020.x)

Please refer to the methodological paper when using the pim package for research. How to refer to the pim package itself, is shown by

    citation("pim")