All packages

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FastRWeb — 1.2-1

Fast Interactive Framework for Web Scripting Using R

FastSF — 0.1.1

Fast Structural Filtering

fastshap — 0.1.1

Fast Approximate Shapley Values

fastSOM — 1.0.1

Fast Calculation of Spillover Measures

FastStepGraph — 0.1.1

A Fast Algorithm for Sparse Precision Matrix Estimation

fastText — 1.0.4

Efficient Learning of Word Representations and Sentence Classification

fastTextR — 2.1.0

An Interface to the 'fastText' Library

fasttime — 1.1-0

Fast Utility Function for Time Parsing and Conversion

fastTopics — 0.6-163

Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data

fastTS — 1.0.0

Fast Time Series Modeling for Seasonal Series with Exogenous Variables

fastverse — 0.3.2

A Suite of High-Performance Packages for Statistics and Data Manipulation

fastWavelets — 1.0.1

Compute Maximal Overlap Discrete Wavelet Transform (MODWT) and À Trous Discrete Wavelet Transform

fat2Lpoly — 1.2.5

Two-Locus Family-Based Association Test with Polytomous Outcome

FateID — 0.2.2

Quantification of Fate Bias in Multipotent Progenitors

FatTailsR — 1.8-5

Kiener Distributions and Fat Tails in Finance

FaultTree — 1.0.1

Fault Trees for Risk and Reliability Analysis

faux — 1.2.1

Simulation for Factorial Designs

fauxnaif — 0.7.1

Convert Values to NA

fauxpas — 0.5.2

HTTP Error Helpers

FAVAR — 0.1.3

Bayesian Analysis of a FAVAR Model

faviconPlease — 0.1.3

Find the URL to the 'Favicon' for a Website

favnums — 1.0.0

A Dataset of Favourite Numbers

FAwR — 1.1.2

Functions and Datasets for "Forest Analytics with R"

fbar — 0.6.0

An Extensible Approach to Flux Balance Analysis

fBasics — 4032.96

Rmetrics - Markets and Basic Statistics

fbati — 1.0-9

Gene by Environment Interaction and Conditional Gene Tests for Nuclear Families

FBCRM — 1.1

Phase I Optimal Dose Assignment using the FBCRM and MFBCRM Methods

FBFsearch — 1.2

Algorithm for Searching the Space of Gaussian Directed Acyclic Graph Models Through Moment Fractional Bayes Factors

FBMS — 1.0

Flexible Bayesian Model Selection and Model Averaging

FBN — 1.5.2

FISH Based Normalization and Copy Number Inference of SNP Microarray Data

fbnet — 1.0.3

Forensic Bayesian Networks

fBonds — 3042.78

Rmetrics - Pricing and Evaluating Bonds

fbRads — 17.0.0

Analyzing and Managing Facebook Ads from R

fbroc — 0.4.1

Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves

fbst — 2.2

The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value

fc — 0.1.0

Standard Evaluation-Based Multivariate Function Composition

fca — 0.1.0

Floating Catchment Area (FCA) Methods to Calculate Spatial Accessibility

fcaR — 1.2.2

Formal Concept Analysis

fcci — 1.0.1

Feldman-Cousins Confidence Intervals

fcfdr — 1.0.0

Flexible cFDR

fcirt — 0.1.0

Forced Choice in Item Response Theory

fcl — 0.1.0

A Financial Calculator

fclust — 2.1.1.1

Fuzzy Clustering

fcm — 0.1.3

Inference of Fuzzy Cognitive Maps (FCMs)

FCMapper — 1.1

Fuzzy Cognitive Mapping

FCO — 0.8.0

Flexible Cutoffs for Model Fit Evaluation in Covariance-Based Structural Models

fCopulae — 4022.85

Rmetrics - Bivariate Dependence Structures with Copulae

fcp — 0.1.0

Function Composition

FCPS — 1.3.4

Fundamental Clustering Problems Suite

fcr — 1.0

Functional Concurrent Regression for Sparse Data

fcros — 1.6.1

A Method to Search for Differentially Expressed Genes and to Detect Recurrent Chromosomal Copy Number Aberrations

FCSlib — 1.3.0

A Collection of Fluorescence Fluctuation Spectroscopy Analysis Methods

fctbases — 1.1.1

Functional Bases

fcuk — 0.1.21

The Ultimate Helper for Clumsy Fingers

FCVAR — 0.1.4

Estimation and Inference for the Fractionally Cointegrated VAR

FD — 1.0-12.3

Measuring Functional Diversity (FD) from Multiple Traits, and Other Tools for Functional Ecology

fda — 6.1.8

Functional Data Analysis

fda.usc — 2.1.0

Functional Data Analysis and Utilities for Statistical Computing

fdaACF — 1.0.0

Autocorrelation Function for Functional Time Series

fdacluster — 0.3.0

Joint Clustering and Alignment of Functional Data

fdaconcur — 0.1.2

Concurrent Regression and History Index Models for Functional Data

fdadensity — 0.1.2

Functional Data Analysis for Density Functions by Transformation to a Hilbert Space

fdaMixed — 0.6.1

Functional Data Analysis in a Mixed Model Framework

fdaMocca — 0.1-1

Model-Based Clustering for Functional Data with Covariates

fdANOVA — 0.1.2

Analysis of Variance for Univariate and Multivariate Functional Data

fdaoutlier — 0.2.1

Outlier Detection Tools for Functional Data Analysis

fdapace — 0.5.9

Functional Data Analysis and Empirical Dynamics

fdapaceShiny — 1.0.5

A Shiny App for the 'fdapace' Package

fdaPDE — 1.1-17

Physics-Informed Spatial and Functional Data Analysis

fdaPOIFD — 1.0.3

Partially Observed Integrated Functional Depth

fdarep — 0.1.1

Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data

fdaSP — 1.1.1

Sparse Functional Data Analysis Methods

fdasrvf — 2.2.0

Elastic Functional Data Analysis

fdatest — 2.1.1

Interval Testing Procedure for Functional Data

FDboost — 1.1-2

Boosting Functional Regression Models

fddm — 0.5-2

Fast Implementation of the Diffusion Decision Model

fdicdata — 0.1.0

Accessing FDIC Bank Data

fdm2id — 0.9.9

Data Mining and R Programming for Beginners

fDMA — 2.2.7

Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes

fdq — 0.12

Forest Data Quality

fdrci — 2.4

Permutation-Based FDR Point and Confidence Interval Estimation

fdrDiscreteNull — 1.4

False Discovery Rate Procedures Under Discrete and Heterogeneous Null Distributions

FDRestimation — 1.0.1

Estimate, Plot, and Summarize False Discovery Rates

FDRsamplesize2 — 0.2.0

Computing Power and Sample Size for the False Discovery Rate in Multiple Applications

FDRsampsize — 1.0

Compute Sample Size that Meets Requirements for Average Power and FDR

fdrtool — 1.2.17

Estimation of (Local) False Discovery Rates and Higher Criticism

fds — 1.8

Functional Data Sets

fdth — 1.3-0

Frequency Distribution Tables, Histograms and Polygons

fdWasserstein — 1.0

Application of Optimal Transport to Functional Data Analysis

FDX — 1.0.6

False Discovery Exceedance Controlling Multiple Testing Procedures

FEA — 0.0.2

Finite Element Modeling for R

FeaLect — 1.20

Scores Features for Feature Selection

feasts — 0.3.2

Feature Extraction and Statistics for Time Series

feather — 0.3.5

R Bindings to the Feather 'API'

feature — 1.2.15

Local Inferential Feature Significance for Multivariate Kernel Density Estimation

featureCorMatrix — 0.4.0

Measurement Level Independent Feature Correlation Matrix

featurefinder — 1.1

Feature Finder

featureflag — 0.1.0

Turn Features On and Off using Feature Flags

FeatureHashing — 0.9.2

Creates a Model Matrix via Feature Hashing with a Formula Interface

FeatureImpCluster — 0.1.5

Feature Importance for Partitional Clustering

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