R Development Page

Contributed R Packages

Below is a list of all packages provided by project topmodels: Enhanced Model Infrastructure.

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).



Bias-Reduced Tobit Regression Models

  Bias-reducted tobit regression models are Gaussian regression models with a response variable left-censored at zero, constant latent variance, and a latent mean that depends on covariates through a linear predictor. Instead of estimating the parameters by plain maximum likelihood a bias-reduced estimator is employed.
  Version: 0.1-1 | Last change: 2021-01-19 04:16:50+01 | Rev.: 1146
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("brtobit", repos="")
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)


Censored Regression with Conditional Heteroscedasticity

  Different approaches to censored or truncated regression with conditional heteroscedasticity are provided. First, continuous distributions can be used for the (right and/or left censored or truncated) response with separate linear predictors for the mean and variance. Second, cumulative link models for ordinal data (obtained by interval-censoring continuous data) can be employed for heteroscedastic extended logistic regression (HXLR). In the latter type of models, the intercepts depend on the thresholds that define the intervals. Infrastructure for working with censored or truncated normal, logistic, and Student-t distributions, i.e., d/p/q/r functions and distributions3 objects.
  Version: 1.1-1 | Last change: 2022-09-08 22:44:13+02 | Rev.: 1683
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get crch 1.1-1 from CRAN
  R install command: install.packages("crch", repos="")
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)


Infrastructure for Forecasting and Assessment of Probabilistic Models

  Unified infrastructure for probabilistic models and distributional regressions: Probabilistic forecasting (procasting for short) in-sample and out-of-sample of probabilities, densities, quantiles, and moments. Diagnostic graphics like rootograms, PIT histograms, (randomized) quantile residual Q-Q plots, and reliagrams (reliability diagrams).
  Version: 0.3-0 | Last change: 2022-11-30 08:42:33+01 | Rev.: 1692
  Download: linux(.tar.gz) | windows(.zip) | Build status: Building
  R install command: install.packages("topmodels", repos="")
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: 0.3-0 | Last change: 2022-10-05 11:39:02
Old Version Download: linux(.tar.gz) | windows(.zip)


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).

If your package is not shown on this page or not building, then check the build system status report.

Thanks to:
Vienna University of Economics and Business Powered By FusionForge