SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project R Programming 2017 (Uni Innsbruck).

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

fgamma

Full Gamma Regression

  Full gamma regression modeling the mu (mean) and sigma parameter as functions of explanatory variables using a "log" link for both parameters.
  Version: 0.0-1 | Last change: 2017-05-23 17:05:04+02 | Rev.: 25
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("fgamma", 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)


hetprobit

Heteroscedastic Probit Regression Models

  Heteroscedastic probit models are provided. In standard probit models the variance of the error term is assumed to be constant. Heteroscedastic probit models allow the error terms to vary systematically.
  Version: 0.0-1 | Last change: 2017-05-24 15:59:41+02 | Rev.: 26
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("hetprobit", 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)


htobit

Heteroscedastic Tobit Regression Models

  Heteroscedastic tobit regression models are provided. These are Gaussian regression models with a response variable left-censored at zero and both distribution parameters (the latent location and scale) parameters can depend on covariates. An identity link is employed for the location equation and a log link for the scale equation.
  Version: 0.0-2 | Last change: 2017-05-27 00:30:42+02 | Rev.: 33
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("htobit", 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)


negbin1

Negative Binomial 1 Regression

  Negative binomial 1 regression models are provided. The negative binomial distribution is an often used alternative to the Poisson model, especially when doubts arise regarding the independence of the underlying process and the inclusion of all relevant regressors.
  Version: 0.0-1 | Last change: 2017-05-26 14:12:46+02 | Rev.: 30
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("negbin1", 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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