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: 2019-07-31 14:40:30+02 | Rev.: 136 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("circmax", repos="http://R-Forge.R-project.org") | ||||||||||
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| 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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("gevreg", repos="http://R-Forge.R-project.org") | ||||||||||
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| htobit2018 | 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: 2019-05-24 02:03:18+02 | Rev.: 124 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("htobit2018", repos="http://R-Forge.R-project.org") | ||||||||||
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| 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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("iCopula", repos="http://R-Forge.R-project.org") | ||||||||||
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| 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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get logitr 1.1.2 from CRAN | ||||||||||
R install command:
install.packages("logitr", repos="http://R-Forge.R-project.org") | ||||||||||
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| 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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("ssdeR", repos="http://R-Forge.R-project.org") | ||||||||||
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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.
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