All packages

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fuzzr — 0.2.2

Fuzz-Test R Functions

Fuzzy.p.value — 1.1

Computing Fuzzy p-Value

FuzzyAHP — 0.9.5

(Fuzzy) AHP Calculation

FuzzyClass — 0.1.6

Fuzzy and Non-Fuzzy Classifiers

FuzzyDBScan — 0.0.3

Run and Predict a Fuzzy DBScan

fuzzyforest — 1.0.8

Fuzzy Forests

FuzzyImputationTest — 0.3.8

Imputation Procedures and Quality Tests for Fuzzy Data

fuzzyjoin — 0.1.6

Join Tables Together on Inexact Matching

FuzzyLP — 0.1-7

Fuzzy Linear Programming

FuzzyM — 0.1.0

Fuzzy Cognitive Maps Operations

FuzzyNumbers — 0.4-7

Tools to Deal with Fuzzy Numbers

FuzzyNumbers.Ext.2 — 3.2

Apply Two Fuzzy Numbers on a Monotone Function

FuzzyPovertyR — 3.0.2

Estimation of Fuzzy Poverty Measures

FuzzyQ — 0.1.0

Fuzzy Quantification of Common and Rare Species

FuzzyR — 2.3.2

Fuzzy Logic Toolkit for R

fuzzyRankTests — 0.4

Fuzzy Rank Tests and Confidence Intervals

fuzzyreg — 0.6.2

Fuzzy Linear Regression

FuzzyResampling — 0.6.4

Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers

fuzzySim — 4.29

Fuzzy Similarity in Species Distributions

FuzzySimRes — 0.4.3

Simulation and Resampling Methods for Epistemic Fuzzy Data

FuzzyStatProb — 2.0.4

Fuzzy Stationary Probabilities from a Sequence of Observations of an Unknown Markov Chain

FuzzyStatTra — 1.0

Statistical Methods for Trapezoidal Fuzzy Numbers

FuzzySTs — 0.3

Fuzzy Statistical Tools

fuzzywuzzyR — 1.0.5

Fuzzy String Matching

FVDDPpkg — 0.1.2

Implement Fleming-Viot-Dependent Dirichlet Processes

fwb — 0.2.0

Fractional Weighted Bootstrap

FWDselect — 2.1.0

Selecting Variables in Regression Models

fwlplot — 0.3.0

Scatter Plot After Residualizing Using 'fixest' Package

FWRGB — 0.1.0

Fresh Weight Determination from Visual Image of the Plant

fwsim — 0.3.4

Fisher-Wright Population Simulation

fxl — 1.7.2

'fxl' Single Case Design Charting Package

fxregime — 1.0-4

Exchange Rate Regime Analysis

fxTWAPLS — 0.1.3

An Improved Version of WA-PLS

fy — 0.4.2

Utilities for Financial Years

g.data — 2.4.1

Delayed-Data Packages

g.ridge — 1.0

Generalized Ridge Regression for Linear Models

G2Sd — 2.1.5

Grain-Size Statistics and Description of Sediment

g3viz — 1.2.0

Interactively Visualize Genetic Mutation Data using a Lollipop-Diagram

GA — 3.2.4

Genetic Algorithms

GABB — 0.3.8

Facilitation of Data Preparation and Plotting Procedures for RDA and PCA Analyses

GACFF — 1.0

Genetic Similarity in User-Based Collaborative Filtering

GAD — 2.0

Analysis of Variance from General Principles

GADAG — 0.99.0

A Genetic Algorithm for Learning Directed Acyclic Graphs

gadget2 — 2.3.11

Gadget is the Globally-Applicable Area Disaggregated General Ecosystem Toolbox

gadget3 — 0.12-1

Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3

gafit — 0.5.1

Genetic Algorithm for Curve Fitting

GAGAs — 0.6.2

Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models

GAGBLUP — 1.0

Genetic Algorithm Assisted Genomic Best Liner Unbiased Prediction

gaiah — 0.0.5

Genetic and Isotopic Assignment Accounting for Habitat Suitability

gainML — 0.1.0

Machine Learning-Based Analysis of Potential Power Gain from Passive Device Installation on Wind Turbine Generators

gains — 1.2

Lift (Gains) Tables and Charts

GAIPE — 1.1

Graphical Extension with Accuracy in Parameter Estimation (GAIPE)

galah — 2.1.0

Biodiversity Data from the GBIF Node Network

galamm — 0.2.1

Generalized Additive Latent and Mixed Models

galigor — 0.2.5

Collection of Packages for Internet Marketing

gallery — 1.0.0

Generate Test Matrices for Numerical Experiments

GALLO — 1.5

Genomic Annotation in Livestock for Positional Candidate LOci

galts — 1.3.2

Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squares) Estimation

galvanizer — 0.5.3

Interface to Galvanize 'Highbond' Internal Audit Software

gam — 1.22-5

Generalized Additive Models

gam.hp — 0.0-3

Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models

gamair — 1.0-2

Data for 'GAMs: An Introduction with R'

gambin — 2.5.0

Fit the Gambin Model to Species Abundance Distributions

gamblers.ruin.gameplay — 4.0.5

One-Dimensional Random Walks Through Simulation of the Gambler's Ruin Problem

gamboostLSS — 2.0-7

Boosting Methods for 'GAMLSS'

gamboostMSM — 1.1.88

Boosting Multistate Models

gamclass — 0.62.5

Functions and Data for a Course on Modern Regression and Classification

gamCopula — 0.0-7

Generalized Additive Models for Bivariate Conditional Dependence Structures and Vine Copulas

GAMens — 1.2.1

Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification

gameR — 0.0.7

Color Palettes Inspired by Video Games

gamesGA — 1.1.3.7

Genetic Algorithm for Sequential Symmetric Games

GameTheory — 2.7.1

Cooperative Game Theory

GameTheoryAllocation — 1.0

Tools for Calculating Allocations in Game Theory

gamlr — 1.13-8

Gamma Lasso Regression

gamlss — 5.4-22

Generalized Additive Models for Location Scale and Shape

gamlss.add — 5.1-13

Extra Additive Terms for Generalized Additive Models for Location Scale and Shape

gamlss.cens — 5.0-7

Fitting an Interval Response Variable Using `gamlss.family' Distributions

gamlss.countKinf — 3.5.1

Generating and Fitting K-Inflated 'discrete gamlss.family' Distributions

gamlss.data — 6.0-6

Data for Generalised Additive Models for Location Scale and Shape

gamlss.demo — 4.3-3

Demos for GAMLSS

gamlss.dist — 6.1-1

Distributions for Generalized Additive Models for Location Scale and Shape

gamlss.foreach — 1.1-6

Parallel Computations for Distributional Regression

gamlss.ggplots — 2.1-12

Plotting Functions for Generalized Additive Model for Location Scale and Shape

gamlss.inf — 1.0-1

Fitting Mixed (Inflated and Adjusted) Distributions

gamlss.lasso — 1.0-1

Extra Lasso-Type Additive Terms for GAMLSS

gamlss.mx — 6.0-1

Fitting Mixture Distributions with GAMLSS

gamlss.spatial — 3.0-2

Spatial Terms in Generalized Additive Models for Location Scale and Shape Models

gamlss.tr — 5.1-9

Generating and Fitting Truncated `gamlss.family' Distributions

gamlssbssn — 0.1.0

Bimodal Skew Symmetric Normal Distribution

gamlssx — 1.0.1

Generalized Additive Extreme Value Models for Location, Scale and Shape

gamm4 — 0.2-6

Generalized Additive Mixed Models using 'mgcv' and 'lme4'

gamma — 1.1.0

Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry Measurements

Gammareg — 3.0.1

Classic Gamma Regression: Joint Modeling of Mean and Shape Parameters

gammi — 0.1

Generalized Additive Mixed Model Interface

gammSlice — 2.0-2

Generalized Additive Mixed Model Analysis via Slice Sampling

gamreg — 0.3

Robust and Sparse Regression via Gamma-Divergence

gamRR — 0.7.0

Calculate the RR for the GAM

gamsel — 1.8-5

Fit Regularization Path for Generalized Additive Models

gamselBayes — 2.0-1

Bayesian Generalized Additive Model Selection

gamstransfer — 3.0.4

A Data Interface Between 'GAMS' and R

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