An experimental implementation of conditional transformation models for the semiparametric estimation of conditional distribution functions. Contains example analyses and a simulation study.
This package is highly experimental! DO NOT USE this package for anything beyond demonstration and theoretical experiments.
The package contains a very rough implementation of conditional transformation models as introduced by Hothorn, Kneib, and Buehlmann (2012). This class of semiparametric regression models fits conditional transformation functions that can be used to evaluate the conditional distribution of the response given explanatory variables.
The applications presented in Hothorn, Kneib, and
Buehlmann (2013) can be reproduced by running ‘make’
The empirical evaluation reported on in the paper
can be reproduced by running R on the file
sim.R in the directory
Torsten Hothorn [email protected]
Torsten Hothorn, Thomas Kneib, and Peter Buehlmann (2013), Conditional Transformation Models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), accepted 2012-11-27. Preprint available from http://arxiv.org/abs/1201.5786v1.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.