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) tools:::Rd_expr_doi("10.48550/arXiv.2311.01638").
Maintainer: Brian Williamson https://bdwilliamson.github.io/
Methodology authors:
Brian D. Williamson
Susan M. Shortreed
Manuscripts: (to appear)
The packages that we import either make internal code nice (dplyr, magrittr, tibble, rlang, data.table), or are used for estimating and performing inference on cross-sectional variable importance (vimp).
We suggest several other packages: ggplot2 and cowplot help with plotting variable importance estimates; testthat and covr help with unit tests; and knitr and rmarkdown help with the vignettes and examples.
Maintainer: Brian D. Williamson brian.d.williamson@kp.org (ORCID)
Useful links: