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mmpf  

Monte-Carlo Methods for Prediction Functions
View on CRAN: Click here


Download and install mmpf package within the R console
Install from CRAN:
install.packages("mmpf")

Install from Github:
library("remotes")
install_github("cran/mmpf")

Install by package version:
library("remotes")
install_version("mmpf", "0.0.5")



Attach the package and use:
library("mmpf")
Maintained by
Zachary Jones
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-12
Latest Update:
Description:
Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.
How to cite:
Zachary Jones (2016). mmpf: Monte-Carlo Methods for Prediction Functions. R package version 0.0.5, https://cran.r-project.org/web/packages/mmpf. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 0.0.1 (2016-11-12 01:03), 0.0.2 (2016-11-30 09:10), 0.0.3 (2017-03-05 17:26), 0.0.4 (2017-12-06 00:59), 0.0.5 (2018-10-24 06:21)
Other packages that cited mmpf R package
View mmpf citation profile
Other R packages that mmpf depends, imports, suggests or enhances
Functions, R codes and Examples using the mmpf R package
Some associated functions: cartesianExpand . makeDesign . makePermutedDesign . marginalPrediction . permutationImportance . uniformGrid . 
Some associated R codes: grid.R . mi.R . mp.R . utils.R .  Full mmpf package functions and examples
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