R Development Page
Contributed R Packages
Below is a list of all packages provided by project Dynamic Treatment Regimes.
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).
Methods for Estimating Dynamic Treatment Regimes
|A comprehensive toolkit for estimating Dynamic Treatment Regimes. Available methods include Interactive Q-Learning, Q-Learning, and value-search methods based on Augmented Inverse Probability Weighted estimators and Inverse Probability Weighted estimators.|
|Version: 2.1 | Last change: 2015-06-16 19:23:22+02 | Rev.: 28|
|Download: (.tar.gz) | (.zip) | Build status: Current | Stable Release: Get DynTxRegime 4.1 from CRAN|
R install command:
A Model Object Framework for Regression Analysis
|A utility library to facilitate the generalization of statistical methods built on a regression framework. Package developers can use modelObj methods to initiate a regression analysis without concern for the details of the regression model and the method to be used to obtain parameter estimates. The specifics of the regression step are left to the user to define when calling the function. The user of a function developed within the modelObj framework creates as input a modelObj that contains the model and the R methods to be used to obtain parameter estimates and to obtain predictions. In this way, a user can easily go from linear to non-linear models within the same package.|
|Version: 1.0 | Last change: 2015-06-16 19:23:22+02 | Rev.: 28|
|Download: (.tar.gz) | (.zip) | Build status: Current | Stable Release: Get modelObj 4.0 from CRAN|
R install command:
Build status codes
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