Package: circtree 0.1-0

Moritz N. Lang

circtree: Regression Trees and Forests for Circular Responses

Infrastructure for fitting distributional trees and forests based on maximum-likelihood estimation of parameters for a circular response, as well as regression methods for a circular response based on maximum-likelihood estimation are provided. For both approaches the von Mises distribution is employed as circular response distribution.

Authors:Moritz N. Lang [aut, cre], Lisa Schlosser [aut], Achim Zeileis [aut]

circtree_0.1-0.tar.gz
circtree_0.1-0.zip(r-4.7)circtree_0.1-0.zip(r-4.6)circtree_0.1-0.zip(r-4.5)

circtree_0.1-0.tar.gz(r-4.7-arm64)circtree_0.1-0.tar.gz(r-4.7-x86_64)circtree_0.1-0.tar.gz(r-4.6-arm64)circtree_0.1-0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
card.svg |card.png
circtree/json (API)

# Install 'circtree' in R:
install.packages('circtree', repos = c('https://zeileis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/partykit

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openmp

3.60 score 1 scripts 11 exports 33 dependencies

Last updated from:861432cfc0. Checks:7 ERROR, 1 OK, 5 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR154
linux-devel-x86_64ERROR144
source / vignettesOK209
linux-release-arm64ERROR130
linux-release-x86_64ERROR142
macos-release-arm64FAIL76
macos-release-x86_64FAIL208
macos-oldrel-arm64FAIL73
macos-oldrel-x86_64FAIL120
windows-develERROR163
windows-releaseERROR106
windows-oldrelERROR110
wasm-releaseFAIL94

Exports:circfitcircforestcircmaxcircmax_controlcircmax_fitcircmax_simulatecirctreecirctree_simulatedist_vonmisesdvonmisesvonmises_bamlss

Dependencies:bootcircularcliclueclusterdisttreefarverFormulagamlss.distgluegridGraphicsinumlabelinglatex2explatticelibcoinlifecycleMASSMatrixmovMFmvtnormpartykitR6RColorBrewerrlangrpartsandwichscalesskmeansslamsurvivalviridisLitezoo

Heteroscedastic Censored and Truncated Regression with crch

Rendered fromcirctree.Rnwusingutils::Sweaveon May 12 2026.

Last update: 2019-08-01
Started: 2019-07-31

Readme and manuals

Help Manual

Help pageTopics
Maximum-Likelihood Fitting for a Circular Responsecircfit
Distributional Regression Forests for a Circular Responsecircforest logLik.circforest predict.circforest varimp.circforest
Circular Regression with Maximum Likelihood Estimationcircmax circmax_control circmax_fit
Simulated Data Set for 'circmax'circmax_simulate
Distributional Regression Tree for a Circular Responsecirctree coef.circtree logLik.circtree predict.circtree print.circtree
Simulated Data Set for 'circtree'circtree_simulate
Methods for CIRCMAX Objectscoef.circmax estfun.circmax logLik.circmax model.frame.circmax model.matrix.circmax print.circmax terms.circmax vcov.circmax
Von Mises Family 'Dist-List' for 'disttree'.dist_vonmises
Von Mises Densitydvonmises
Plotting a Regression Tree with a Circular Response (under development).plot.circtree
Predicted/Fitted Values for CIRCMAX Fitspredict.circmax
Von Mises Family for 'bamlss'.vonmises_bamlss