r-cran-party 1.3-4-1build1 source package in Ubuntu


r-cran-party (1.3-4-1build1) groovy; urgency=medium

  * No-change rebuild against r-api-4.0

 -- Steve Langasek <email address hidden>  Sun, 31 May 2020 06:20:23 +0000

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Steve Langasek
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Ubuntu Developers
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Series Pocket Published Component Section
Groovy release universe misc


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r-cran-party_1.3-4.orig.tar.gz 717.0 KiB 7689bd4fe7968ef1981147c5ad11237d630eddd5789a05c090339898eff71e7f
r-cran-party_1.3-4-1build1.debian.tar.xz 2.7 KiB 8e7237be13c836e7324b8f1b356106bb9057c07d00d845b314f3496b7143cef5
r-cran-party_1.3-4-1build1.dsc 2.3 KiB b4be42d6e56d001699a584faa35bb1614d0133fb9e56e8ae264b72d1d150090a

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Binary packages built by this source

r-cran-party: GNU R laboratory for recursive partytioning

 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) <doi:10.1198/106186006X133933>,
 Zeileis et al. (2008) <doi:10.1198/106186008X319331> and
 Strobl et al. (2007) <doi:10.1186/1471-2105-8-25>.

r-cran-party-dbgsym: debug symbols for r-cran-party