Package: vivo 0.2.1

Anna Kozak

vivo: Variable Importance via Oscillations

Provides an easy to calculate local variable importance measure based on Ceteris Paribus profile and global variable importance measure based on Partial Dependence Profiles.

Authors:Anna Kozak [aut, cre], Przemyslaw Biecek [aut, ths]

vivo_0.2.1.tar.gz
vivo_0.2.1.zip(r-4.7)vivo_0.2.1.zip(r-4.6)vivo_0.2.1.zip(r-4.5)
vivo_0.2.1.tgz(r-4.6-any)vivo_0.2.1.tgz(r-4.5-any)
vivo_0.2.1.tar.gz(r-4.7-any)vivo_0.2.1.tar.gz(r-4.6-any)
vivo_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
vivo/json (API)
NEWS

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

Bug tracker:https://github.com/modeloriented/vivo/issues

On CRAN:

Conda:

explainable-aiexplainable-artificial-intelligenceexplainable-mlimlinterpretable-machine-learningvariable-importancexai

5.45 score 14 stars 7 scripts 259 downloads 2 mentions 4 exports 32 dependencies

Last updated from:dda6ffbb11. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK192
source / vignettesOK197
linux-release-x86_64OK149
macos-release-arm64OK109
macos-oldrel-arm64OK93
windows-develOK92
windows-releaseOK95
windows-oldrelOK101
wasm-releaseOK103

Exports:calculate_variable_splitcalculate_weightglobal_variable_importancelocal_variable_importance

Dependencies:clicodetoolscpp11DALEXdigestdoFuturefarverforeachfuturefuture.applyggplot2globalsgluegridExtragtableiBreakDowningredientsisobanditeratorskernelshaplabelinglifecyclelistenvparallellyR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

Example of global variable importance

Anna Kozak

Rendered fromvignette_apartments_global.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2020-07-01
Started: 2020-07-01

Example of local variable importance

Anna Kozak

Rendered fromvignette_apartments_local.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2020-07-01
Started: 2020-07-01