SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project R Programming 2018 (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

circmax

Circular Regression with Maximum Likelihood Estimation and Regression Trees

  Circular regression with maximum likelihood estimation and regression trees for a circular response.
  Version: 0.1 | Last change: 2018-07-19 19:22:39+02 | Rev.: 84
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build
  R install command: install.packages("circmax", 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)


Old Version: 0.1 | Last change: 2018-07-16 10:35:02
Old Version Download: linux(.tar.gz) | windows(.zip)

gevreg

Smooth Spatial GEV Fitting with Maximum Likelihood

  Fit a GEV distribution via maximum likelihood spatially to observations.
  Version: 0.1-7 | Last change: 2018-09-03 22:13:07+02 | Rev.: 105
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("gevreg", 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: 0.1-0 | Last change: 2018-06-16 00:33:05+02 | Rev.: 39
  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)


iCopula

Implicit Copula Regression

  Semi-parametric regression using implicit copulas.
  Version: 0.1-0 | Last change: 2018-05-30 15:26:07+02 | Rev.: 9
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("iCopula", 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)


logitr

Logit Regression Model

  Logistic regression models are provided. These are regression models where the dependant variable is binomially distributed.
  Version: 0.1.0 | Last change: 2018-07-26 22:29:50+02 | Rev.: 85
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("logitr", 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)


ssdeR

Sample Selection Models with a Common Dummy Endogenous Regressor in Simultaneous Equations

  Estimates sample selection models where a common dummy endogenous regressor appears both in the selection equation and in the censored equation. We interpret this model as an endogenous switching model and develop a simple two step estimation procedure.
  Version: 0.1.0 | Last change: 2018-09-05 16:11:28+02 | Rev.: 112
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("ssdeR", 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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