Package: feature 1.2.16

feature: Local Inferential Feature Significance for Multivariate Kernel Density Estimation

Local inferential feature significance for multivariate kernel density estimation.

Authors:Tarn Duong [aut, cre], Matt Wand [ctb]

feature_1.2.16.tar.gz
feature_1.2.16.zip(r-4.7)feature_1.2.16.zip(r-4.6)feature_1.2.16.zip(r-4.5)
feature_1.2.16.tgz(r-4.6-any)feature_1.2.16.tgz(r-4.5-any)
feature_1.2.16.tar.gz(r-4.7-any)feature_1.2.16.tar.gz(r-4.6-any)
feature_1.2.16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
feature/json (API)

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

Pkgdown/docs site:https://mvstat.net

Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5.39 score 5 packages 47 scripts 388 downloads 7 mentions 4 exports 15 dependencies

Last updated from:00ad217424. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK192
linux-release-x86_64OK139
macos-release-arm64OK117
macos-oldrel-arm64OK109
windows-develOK94
windows-releaseOK100
windows-oldrelOK94
wasm-releaseOK106

Exports:featureSigniffeatureSignifGUISiConSiZer

Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmisc3dmulticoolmvtnormnlmeplot3DpracmaRcpp

feature: an R package for feature significance for multivariate kernel density estimation

Tarn Duong

Rendered fromfeature.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2026-05-11
Started: 2020-10-15