Package: ivd 1.0.0.9000

Philippe Rast

ivd: "Individual Variance Detection"

Fit mixed-effects location scale models with spike-and-slab priors on the location random effects to identify units with unusual residual variances. The method is described in detail in Carmo, Williams and Rast (2025) <https://osf.io/sh6ne>.

Authors:Philippe Rast [aut, cre, cph], Marwin Carmo [aut]

ivd_1.0.0.9000.tar.gz
ivd_1.0.0.9000.zip(r-4.7)ivd_1.0.0.9000.zip(r-4.6)ivd_1.0.0.9000.zip(r-4.5)
ivd_1.0.0.9000.tgz(r-4.6-any)ivd_1.0.0.9000.tgz(r-4.5-any)
ivd_1.0.0.9000.tar.gz(r-4.7-any)ivd_1.0.0.9000.tar.gz(r-4.6-any)
ivd_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ivd/json (API)

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

Bug tracker:https://github.com/consistentlybetter/ivd/issues

Datasets:
  • saeb - Basic Education Evaluation System (Saeb) -2021

On CRAN:

Conda:

4.10 score 2 stars 21 scripts 216 downloads 4 exports 62 dependencies

Last updated from:314395dcd7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK200
source / vignettesOK185
linux-release-x86_64OK239
macos-release-arm64OK148
macos-oldrel-arm64OK141
windows-develOK163
windows-releaseOK197
windows-oldrelOK173
wasm-releaseOK179

Exports:build_ivd_modelcodaplotivdrun_MCMC_compiled_model

Dependencies:abindbackportsBHcallrcheckmateclicodacodetoolscpp11descdigestdistributionalfarverfuturefuture.applygenericsggplot2ggrepelglobalsgluegridExtragtableigraphinlineisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsnimblenumDerivotelparallellypatchworkpillarpkgbuildpkgconfigposteriorpracmaprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr