_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-rfpermute 2.5.5
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-swfscmisc@1.7 r-scales@1.4.0 r-rlang@1.1.6 r-randomforest@4.7-1.2 r-gridextra@2.3 r-ggplot2@3.5.2 r-dplyr@1.1.4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/SWFSC/rfPermute
Licenses: GPL 2+
Synopsis: Estimate Permutation p-Values for Random Forest Importance Metrics
Description:

Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for randomForest results.

Total results: 1