All packages

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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 — 0.1.3

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

fctbases — 1.1.1

Functional Bases

fctutils — 0.0.7

Advanced Factor Manipulation Utilities

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 — 6.2.0

Functional Data Analysis

fda.usc — 2.2.0

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 — 0.1.3

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 — 0.6.0

Functional Data Analysis and Empirical Dynamics

fdapaceShiny — 1.0.5

A Shiny App for the 'fdapace' Package

fdaPDE — 1.1-21

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 — 2.3.4

Elastic Functional Data Analysis

fdatest — 2.1.1

Interval Testing Procedure for Functional Data

FDboost — 1.1-2

Boosting Functional Regression Models

fddm — 1.0-2

Fast Implementation of the Diffusion Decision Model

fdesigns — 1.0

Optimal Experimental Designs for Functional/Dynamic Models

fdicdata — 0.1.1

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 — 1.2.18

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 — 2.0.2

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 — 0.4.1

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

FeatureExtraction — 3.7.2

Generating Features for a Cohort

featurefinder — 1.2

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

features — 2015.12-1

Feature Extraction for Discretely-Sampled Functional Data

FeatureTerminatoR — 1.0.0

Feature Selection Engine to Remove Features with Minimal Predictive Power

featurizer — 0.2

Some Helper Functions that Help Create Features from Data

fec16 — 0.1.4

Data Package for the 2016 United States Federal Elections

fechner — 1.0-3

Fechnerian Scaling of Discrete Object Sets

fect — 1.0.0

Fixed Effects Counterfactuals

FedData — 4.2.0

Download Geospatial Data Available from Several Federated Data Sources

federalregister — 0.2.0

Client Package for the U.S. Federal Register API

FedIRT — 1.1.0

Federated Item Response Theory Models

fedmatch — 2.0.6

Fast, Flexible, and User-Friendly Record Linkage Methods

fedstatAPIr — 1.0.3

Unofficial API for Fedstat (Rosstat EMISS System) for Automatic and Efficient Data Queries

fedz1 — 0.1.0

An Easier Access to Financial Accounts of the United States(Z.1)

FeedbackTS — 1.5

Analysis of Feedback in Time Series

feisr — 1.3.0

Estimating Fixed Effects Individual Slope Models

felp — 0.6.0

Functional Help for Functions, Objects, and Packages

feltr — 0.0.4

Access the Felt API

fence — 1.0

Using Fence Methods for Model Selection

FENmlm — 2.4.4

Fixed Effects Nonlinear Maximum Likelihood Models

FEprovideR — 1.1

Fixed Effects Logistic Model with High-Dimensional Parameters

FER — 0.94

Financial Engineering in R

fergm — 1.1.4

Estimation and Fit Assessment of Frailty Exponential Random Graph Models

fermicatsR — 1.4

Fermi Large Area Telescope Catalogs

ferrn — 0.1.0

Facilitate Exploration of touRR optimisatioN

FertBoot — 0.5.0

Fertilizer Response Curve Analysis by Bootstrapping Residuals

fertilmodel — 1.4

Fertility Models

FertNet — 0.1.2

Process Data from the Social Networks and Fertility Survey

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