mmpf: Monte-Carlo Methods for Prediction Functions

Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.

Author
Zachary Jones [aut, cre]
Date of publication
2016-11-30 09:10:58
Maintainer
Zachary Jones <zmj@zmjones.com>
License
MIT + file LICENSE
Version
0.0.2

View on CRAN

Man pages

cartesianExpand
expands two data.frames using the Cartesian product
makeDesign
make a uniform, random, or user-specified grid over some...
makePermutedDesign
creates a 'data.frame' with some columns permuted
marginalPrediction
marginalizes prediction functions
permutationImportance
computes permutation importance
uniformGrid
method to create a uniform grid on a variable

Files in this package

mmpf
mmpf/inst
mmpf/inst/doc
mmpf/inst/doc/mmpf.R
mmpf/inst/doc/mmpf.html
mmpf/inst/doc/mmpf.Rmd
mmpf/tests
mmpf/tests/testthat.R
mmpf/tests/testthat
mmpf/tests/testthat/test_mp.R
mmpf/tests/testthat/test_mi.R
mmpf/tests/testthat/test_grid.R
mmpf/NAMESPACE
mmpf/R
mmpf/R/utils.R
mmpf/R/mi.R
mmpf/R/mp.R
mmpf/R/grid.R
mmpf/vignettes
mmpf/vignettes/mmpf.Rmd
mmpf/README.md
mmpf/MD5
mmpf/build
mmpf/build/vignette.rds
mmpf/DESCRIPTION
mmpf/man
mmpf/man/permutationImportance.Rd
mmpf/man/makePermutedDesign.Rd
mmpf/man/makeDesign.Rd
mmpf/man/cartesianExpand.Rd
mmpf/man/marginalPrediction.Rd
mmpf/man/uniformGrid.Rd
mmpf/LICENSE