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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>.

Version:	1.0.0
Imports:	vimp
Suggests:	knitr, rmarkdown, testthat, SuperLearner
Published:	2025-12-06
DOI:	10.32614/CRAN.package.lvimp (may not be active yet)
Author:	Brian D. Williamson [aut, cre]
Maintainer:	Brian D. Williamson <brian.d.williamson at kp.org>
BugReports:	https://github.com/bdwilliamson/lvimp/issues
License:	MIT + file LICENSE
URL:	https://bdwilliamson.github.io/lvimp/
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	lvimp results

Documentation:

Reference manual:	lvimp.html , lvimp.pdf
Vignettes:	Introduction to 'lvimp' (source, R code)

Downloads:

Package source:	lvimp_1.0.0.tar.gz
Windows binaries:	r-devel: lvimp_1.0.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): lvimp_1.0.0.tgz, r-oldrel (arm64): lvimp_1.0.0.tgz, r-release (x86_64): lvimp_1.0.0.tgz, r-oldrel (x86_64): lvimp_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lvimp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.