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mlf  

Machine Learning Foundations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mlf", "1.2.1")



Attach the package and use:
library("mlf")
Maintained by
Kyle Peterson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-10
Latest Update: 2018-06-25
Description:
Offers a gentle introduction to machine learning concepts for practitioners with a statistical pedigree: decomposition of model error (bias-variance trade-off), nonlinear correlations, information theory and functional permutation/bootstrap simulations. Sz
How to cite:
Kyle Peterson (2018). mlf: Machine Learning Foundations. R package version 1.2.1, https://cran.r-project.org/web/packages/mlf. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.2 (2018-04-10 19:09)
Other packages that cited mlf R package
View mlf citation profile
Other R packages that mlf depends, imports, suggests or enhances
Complete documentation for mlf
Functions, R codes and Examples using the mlf R package
Some associated functions: boot . bvto . distcorr . entropy . get_bias . get_mse . get_var . jointentropy . kld . mi . mic . perm . 
Some associated R codes: boot.R . bvto.R . distcorr.R . entropy.R . get_bias.R . get_mse.R . get_var.R . jointentropy.R . kld.R . mi.R . mic.R . perm.R .  Full mlf package functions and examples
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