Package: lvimp 1.0.0

lvimp: Perform Inference on Summaries of Longitudinal Algorithm-Agnostic Variable Importance

Calculate point estimates of and valid confidence intervals for longitudinal summaries of nonparametric, algorithm-agnostic variable importance measures. For more details, see Williamson et al. (2024) <doi:10.48550/arXiv.2311.01638>.

Authors:Brian D. Williamson [aut, cre]

lvimp_1.0.0.tar.gz
lvimp_1.0.0.zip(r-4.7)lvimp_1.0.0.zip(r-4.6)lvimp_1.0.0.zip(r-4.5)
lvimp_1.0.0.tgz(r-4.6-any)lvimp_1.0.0.tgz(r-4.5-any)
lvimp_1.0.0.tar.gz(r-4.7-any)lvimp_1.0.0.tar.gz(r-4.6-any)
lvimp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lvimp/json (API)
NEWS

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

Bug tracker:https://github.com/bdwilliamson/lvimp/issues

Pkgdown/docs site:https://bdwilliamson.github.io

On CRAN:

Conda:

4.18 score 1 stars 1 scripts 155 downloads 4 exports 46 dependencies

Last updated from:9bcd6cd466. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK195
source / vignettesOK208
linux-release-x86_64OK192
macos-release-arm64OK110
macos-oldrel-arm64OK94
windows-develOK105
windows-releaseOK118
windows-oldrelOK114
wasm-releaseOK121

Exports:lvimlvim_autclvim_averagelvim_trend

Dependencies:bitopsbootcaToolsclicodetoolscpp11cvAUCdata.tabledigestdplyrforeachfurrrfuturegamgenericsglobalsgluegplotsgtoolsiteratorsKernSmoothlifecyclelistenvmagrittrMASSnnlsparallellypillarpkgconfigpurrrR6rlangROCRrsamplesliderstringistringrSuperLearnertibbletidyrtidyselectutf8vctrsvimpwarpwithr

Introduction to lvimp

Rendered fromintroduction-to-lvimp.Rmdusingknitr::rmarkdownon May 18 2026.

Last update: 2023-05-25
Started: 2022-10-25