Package: CoMiRe 0.8

Antonio Canale

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.tar.gz(r-4.5-noble)CoMiRe_0.8.tar.gz(r-4.4-noble)
CoMiRe_0.8.tgz(r-4.4-emscripten)CoMiRe_0.8.tgz(r-4.3-emscripten)
CoMiRe.pdf |CoMiRe.html
CoMiRe/json (API)

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

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

cpp

1.00 score 248 downloads 13 exports 35 dependencies

Last updated 1 years agofrom:908383d562. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-linux-x86_64NOTEFeb 13 2025

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

Dependencies:clicolorspacefansifarverggplot2gluegtablegtoolsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalessplines2tibbletruncnormutf8vctrsviridisLitewithr