Package: relaimpo 2.2-7
relaimpo: Relative Importance of Regressors in Linear Models
Provides several metrics for assessing relative importance in linear models. These can be printed, plotted and bootstrapped. The recommended metric is lmg, which provides a decomposition of the model explained variance into non-negative contributions. There is a version of this package available that additionally provides a new and also recommended metric called pmvd. If you are a non-US user, you can download this extended version from Ulrike Groempings web site.
Authors:
relaimpo_2.2-7.tar.gz
relaimpo_2.2-7.zip(r-4.5)relaimpo_2.2-7.zip(r-4.4)relaimpo_2.2-7.zip(r-4.3)
relaimpo_2.2-7.tgz(r-4.4-any)relaimpo_2.2-7.tgz(r-4.3-any)
relaimpo_2.2-7.tar.gz(r-4.5-noble)relaimpo_2.2-7.tar.gz(r-4.4-noble)
relaimpo_2.2-7.tgz(r-4.4-emscripten)relaimpo_2.2-7.tgz(r-4.3-emscripten)
relaimpo.pdf |relaimpo.html✨
relaimpo/json (API)
NEWS
# Install 'relaimpo' in R: |
install.packages('relaimpo', repos = c('https://ugroempi.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:8fdb19fefb. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 10 2024 |
R-4.5-win | OK | Oct 10 2024 |
R-4.5-linux | OK | Oct 10 2024 |
R-4.4-win | OK | Oct 10 2024 |
R-4.4-mac | OK | Oct 10 2024 |
R-4.3-win | OK | Oct 10 2024 |
R-4.3-mac | OK | Oct 10 2024 |
Exports:$.relimplm$.relimplmbooteval$.relimplmbootMIboot.relimpboot.relimp.defaultboot.relimp.formulaboot.relimp.lmbooteval.relimpcalc.relimpcalc.relimp.defaultcalc.relimp.formulacalc.relimp.lmcoercemianalyze.relimpplot.relimplmplot.relimplmbootevalplot.relimplmbootMIprint.relimplmprint.relimplmbootevalprint.relimplmbootMIshowsummary.relimplmbootMI
Dependencies:bootcorpcorDBIlatticeMASSMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Package to calculate relative importance metrics for linear models | relaimpo-package relaimpo |
Functions to Bootstrap Relative Importance Metrics | boot.relimp boot.relimp.default boot.relimp.formula boot.relimp.lm booteval.relimp |
Function to calculate relative importance metrics for linear models | calc.relimp calc.relimp.default calc.relimp.formula calc.relimp.lm |
Classes and Methods in Package relaimpo | $.relimplm $.relimplmbooteval $.relimplmbootMI classesmethods.relaimpo plot.relimplm plot.relimplmbooteval plot.relimplmbootMI print.relimplm print.relimplmbooteval print.relimplmbootMI relimplm relimplmboot relimplmbooteval relimplmbootMI relimplmtest summary.relimplmbootMI |
Function to do relative importance calculations based on multiply imputed datasets | mianalyze.relimp |
Class relimplm | coerce,relimplm,list-method relimplm-class show,relimplm-method |
Class relimplmboot | relimplmboot-class show,relimplmboot-method |
Class relimplmbooteval | relimplmbooteval-class show,relimplmbooteval-method |
Class relimplmbootMI | relimplmbootMI-class show,relimplmbootMI-method |