Package: CoMiRe 0.8

CoMiRe: Convex Mixture Regression

Posterior inference under the convex mixture regression (CoMiRe) models introduced by Canale, Durante, and Dunson (2018) <doi:10.1111/biom.12917>.

Authors:Antonio Canale [aut, cre], Daniele Durante [ctb], Arianna Falcioni [aut], Luisa Galtarossa [aut], Tommaso Rigon [ctb]

CoMiRe_0.8.tar.gz
CoMiRe_0.8.zip(r-4.7-x86_64)CoMiRe_0.8.zip(r-4.7-arm64)CoMiRe_0.8.zip(r-4.6-x86_64)CoMiRe_0.8.zip(r-4.6-arm64)CoMiRe_0.8.zip(r-4.5-x86_64)
CoMiRe_0.8.tgz(r-4.6-x86_64)CoMiRe_0.8.tgz(r-4.6-arm64)CoMiRe_0.8.tgz(r-4.5-x86_64)CoMiRe_0.8.tgz(r-4.5-arm64)
CoMiRe_0.8.tar.gz(r-4.7-arm64)CoMiRe_0.8.tar.gz(r-4.7-x86_64)CoMiRe_0.8.tar.gz(r-4.6-arm64)CoMiRe_0.8.tar.gz(r-4.6-x86_64)
CoMiRe_0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CoMiRe/json (API)

# Install 'CoMiRe' in R:
install.packages('CoMiRe', repos = c('https://tonycanale.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 336 downloads 13 exports 24 dependencies

Last updated from:908383d562. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE112
linux-devel-x86_64NOTE143
source / vignettesOK200
linux-release-arm64NOTE138
linux-release-x86_64NOTE134
macos-release-arm64NOTE153
macos-release-x86_64NOTE346
macos-oldrel-arm64NOTE139
macos-oldrel-x86_64NOTE188
windows-devel-arm64NOTE235
windows-devel-x86_64NOTE184
windows-release-arm64NOTE217
windows-release-x86_64NOTE144
windows-oldrel-x86_64NOTE88
wasm-releaseOK111

Exports:add.riskas.classCoMiRebetaplotBMDbmd.plotcomire.gibbsfit.pdf.mcmcplot.classCoMiRepost.pred.checkpredict_new_zprint.classCoMiReriskplotsummary.classCoMiRe

Dependencies:clicpp11farverggplot2gluegtablegtoolsisobandKernSmoothlabelinglifecyclemvtnormR6RColorBrewerRcppRcppArmadillorlangS7scalessplines2truncnormvctrsviridisLitewithr