R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
MFF
View on CRAN: Click
here
Download and install MFF package within the R console
Install from CRAN:
install.packages("MFF")
Install from Github:
library("remotes")
install_github("cran/MFF") Install by package version:
library("remotes")
install_version("MFF", "0.1.0") Attach the package and use:
library("MFF")
Maintained by
Nihat Tak
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-13
Latest Update: 2026-02-13
Description:
Implements Meta Fuzzy Functions (MFFs) for regression Tak and Ucan (2026) <doi:10.1016/j.asoc.2026.114592> by aggregating predictions from multiple base learners using membership weights learned in the prediction space of validation set. The package supports fuzzy and crisp meta-ensemble structures via Fuzzy C-Means (FCM) Tak (2018) <doi:10.1016/j.asoc.2018.08.009>, Possibilistic FCM (PFCM) Tak (2021) <doi:10.1016/j.ins.2021.01.024>, and k-means, and provides a workflow to (i) generate validation/test prediction matrices from common regression learners (linear and penalized regression via 'glmnet', random forests, gradient boosting with 'xgboost' and 'lightgbm'), (ii) fit cluster-wise meta fuzzy functions and compute membership-based weights, (iii) tune clustering-related hyperparameters (number of clusters/functions, fuzziness exponent, possibilistic regularization) via grid search on validation loss, and (iv) predict on new/test prediction matrices and evaluate performance using standard regression metrics (MAE, RMSE, MAPE, SMAPE, MSE, MedAE). This enables flexible, interpretable ensemble regression where different base models contribute to different meta components according to learned memberships.
How to cite:
Nihat Tak (2026). MFF: Meta Fuzzy Functions. R package version 0.1.0, https://cran.r-project.org/web/packages/MFF. Accessed 15 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited MFF R package
View MFF citation profile
Other R packages that MFF depends,
imports, suggests or enhances
Complete documentation for MFF
Functions, R codes and Examples using
the MFF R package
Full MFF package
functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
IDSL.MXP
A tiny parser to extract mass spectra data and metadata table of mass spectrometry acquisition prope ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dinesh Barupal (view profile)
ATAforecasting
The Ata method (Yapar et al. (2019) ), an alternative to exponential smoo ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ali Sabri Taylan (view profile)
shinyNotes
An enterprise-targeted scalable and customizable 'shiny' module providing an easy way to incorporate ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Daniel Kovtun (view profile)
datana
Datasets and Functions to Accompany Salas-Eljatib (2021, ISBN: 9789566086109)
"Analisis de datos co ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Christian Salas-Eljatib (view profile)
hablar
Simple tools for converting columns to new data types. Intuitive functions for columns with missing ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Sjoberg (view profile)
seas
Capable of deriving seasonal statistics, such as "normals", and
analysis of seasonal data, such as ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mike Toews (view profile)
26,352
R Packages
225,784
Dependencies
70,526
Author Associations
26,294
Publication Badges
