ellipse: Functions for Drawing Ellipses and Ellipse-Like Confidence Regions

Contains various routines for drawing ellipses and ellipse-like confidence regions, implementing the plots described in Murdoch and Chow (1996, <doi:10.2307/2684435>). There are also routines implementing the profile plots described in Bates and Watts (1988, <doi:10.1002/9780470316757>).

Version: 0.5.0
Depends: R (≥ 2.0.0), graphics, stats
Suggests: MASS
Published: 2023-07-20
DOI: 10.32614/CRAN.package.ellipse
Author: Duncan Murdoch and E. D. Chow (porting to R by Jesus M. Frias Celayeta)
Maintainer: Duncan Murdoch <murdoch.duncan at gmail.com>
BugReports: https://github.com/dmurdoch/ellipse/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/dmurdoch/ellipse, https://dmurdoch.github.io/ellipse/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ellipse results

Documentation:

Reference manual: ellipse.pdf

Downloads:

Package source: ellipse_0.5.0.tar.gz
Windows binaries: r-devel: ellipse_0.5.0.zip, r-release: ellipse_0.5.0.zip, r-oldrel: ellipse_0.5.0.zip
macOS binaries: r-release (arm64): ellipse_0.5.0.tgz, r-oldrel (arm64): ellipse_0.5.0.tgz, r-release (x86_64): ellipse_0.5.0.tgz, r-oldrel (x86_64): ellipse_0.5.0.tgz
Old sources: ellipse archive

Reverse dependencies:

Reverse depends: bacon, BivRegBLS, fanc, FreeSortR, mada, MetabolAnalyze, RAMpath, SMPracticals
Reverse imports: adnuts, animalEKF, anipaths, AppliedPredictiveModeling, ASRgenomics, BayesianTools, celltrackR, ClusROC, convoSPAT, crlmm, dampack, dispRity, DTComPair, easyCODA, ei, enmpa, FactoMineR, FisherEM, gamlss.ggplots, GMCM, HMMextra0s, IsotopeR, lessR, Linnorm, MANOVA.RM, mcmcse, MEclustnet, metaSEM, mixOmics, MNM, ModStatR, MorphoTools2, mt, nichetools, NPflow, optimalFlow, phenoTest, ratematrix, RXshrink, sate, scatterD3, SciViews, smacof, soc.ca
Reverse suggests: BiodiversityR, cabootcrs, caret, cellWise, emdbook, flexclust, flexmix, fscaret, geostatsp, lava, limma, logmult, nlmeU, PlaneGeometry, plgp, rattle, robustfa, SIBER
Reverse enhances: cluster

Linking:

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