R Development Page
Contributed R Packages
Below is a list of all packages provided by project topmodels: Extended 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).
Packages
| brtobit | Bias-Reduced Tobit Regression | |||||||||
|
Tobit models are regression models with a Gaussian response variable left-censored at zero, constant latent variance,
and a latent mean that depends on covariates through a linear predictor. As an alternative to plain maximum likelihood estimation,
the adjusted score equations of Kosmidis and Firth (2010) | ||||||||||
| Version: 0.1-2 | Last change: 2024-05-12 22:34:52+02 | Rev.: 1796 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("brtobit", repos="http://R-Forge.R-project.org") | ||||||||||
|
| crch | 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: 1.1-3 | Last change: 2024-02-09 02:45:29+01 | Rev.: 1763 | ||||||||||
|
Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get crch 1.1-2 from CRAN | ||||||||||
R install command:
install.packages("crch", repos="http://R-Forge.R-project.org") | ||||||||||
|
| topmodels | Infrastructure for Forecasting and Assessment of Probabilistic Models | |||||||||||
| Unified infrastructure for probabilistic models and distributional regressions: Probabilistic forecasting of in-sample and out-of-sample of probabilities, densities, quantiles, and moments. Probabilistic residuals and scoring via log-score (or log-likelihood), (continuous) ranked probability score, etc. Diagnostic graphics like rootograms, PIT histograms, (randomized) quantile residual Q-Q plots, and reliagrams (reliability diagrams). | ||||||||||||
| Version: 0.3-0 | Last change: 2024-07-26 08:34:53+02 | Rev.: 1809 | ||||||||||||
|
Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build | ||||||||||||
R install command:
install.packages("topmodels", repos="http://R-Forge.R-project.org") | ||||||||||||
|
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.
