codeberg-thothorn.r-universe.dev

[thothorn] coin 1.4-6

torsten.hothorn@r-project.org (Torsten Hothorn) — Tue, 03 Nov 2026 15:06:27 GMT

Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems described in .

[thothorn] libcoin 1.0-13

torsten.hothorn@r-project.org (Torsten Hothorn) — Tue, 03 Nov 2026 15:06:27 GMT

Basic infrastructure for linear test statistics and permutation inference in the framework of Strasser and Weber (1999) . This package must not be used by end-users. CRAN package 'coin' implements all user interfaces and is ready to be used by anyone.

[thothorn] ipred 0.9-16

torsten.hothorn@r-project.org (Torsten Hothorn) — Mon, 02 Nov 2026 15:00:14 GMT

Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.

[thothorn] ATR 0.1-1

torsten.hothorn@r-project.org (Torsten Hothorn) — Mon, 02 Nov 2026 14:11:13 GMT

Plot party trees in left-right orientation instead of the classical top-down layout.

[zeileis] lagsarlmtree 1.0-2

achim.zeileis@r-project.org (Achim Zeileis) — Mon, 02 Nov 2026 14:11:13 GMT

Model-based linear model trees adjusting for spatial correlation using a simultaneous autoregressive spatial lag, Wagner and Zeileis (2019) .

[thothorn] party 1.3-24

torsten.hothorn@r-project.org (Torsten Hothorn) — Tue, 29 Sep 2026 12:13:42 GMT

A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) , Zeileis et al. (2008) and Strobl et al. (2007) .

[thothorn] modeltools 0.2-25

torsten.hothorn@r-project.org (Torsten Hothorn) — Tue, 29 Sep 2026 11:41:26 GMT

A collection of tools to deal with statistical models. The functionality is experimental and the user interface is likely to change in the future. The documentation is rather terse, but packages `coin' and `party' have some working examples. However, if you find the implemented ideas interesting we would be very interested in a discussion of this proposal. Contributions are more than welcome!

[thothorn] multcomp 1.4-32

torsten.hothorn@r-project.org (Torsten Hothorn) — Fri, 21 Aug 2026 10:56:28 GMT

Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).

[thothorn] mvtnorm 1.5-0

torsten.hothorn@r-project.org (Torsten Hothorn) — Tue, 11 Aug 2026 18:56:23 GMT

Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.

[thothorn] exactRankTests 0.8-37

torsten.hothorn@r-project.org (Torsten Hothorn) — Thu, 21 May 2026 12:40:34 GMT

Computes exact conditional p-values and quantiles using an implementation of the Shift-Algorithm by Streitberg & Roehmel.

[thothorn] TH.data 1.1-5

torsten.hothorn@r-project.org (Torsten Hothorn) — Mon, 17 Nov 2025 15:43:00 GMT

Contains data sets used in other packages Torsten Hothorn maintains.