All packages

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fabCI — 0.1

FAB Confidence Intervals

fabMix — 4.5

Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components

fabricatr — 0.8.0

Imagine Your Data Before You Collect It

face — 0.1-5

Fast Covariance Estimation for Sparse Functional Data

facebook.S4 — 1.1.0

Access to Facebook API V2 via a Set of S4 Classes

facerec — 0.1.0

An Interface for Face Recognition

facilitation — 0.5.2

A C++ Framework for Plant-Plant Interaction IBMs

FacPad — 3.0

Bayesian Sparse Factor Analysis model for the inference of pathways responsive to drug treatment

FactMixtAnalysis — 1.0

Factor Mixture Analysis with covariates

FACTMLE — 1.1

Maximum Likelihood Factor Analysis

FactoClass — 1.2.7

Combination of Factorial Methods and Cluster Analysis

factoextra — 1.0.5

Extract and Visualize the Results of Multivariate Data Analyses

FactoInvestigate — 1.3

Automatic Description of Factorial Analysis

FactoMineR — 1.41

Multivariate Exploratory Data Analysis and Data Mining

factoptd — 1.0.3

Factorial Optimal Designs for Two-Colour cDNA Microarray Experiments

factorcpt — 0.1.2

Simultaneous Change-Point and Factor Analysis

factorMerger — 0.3.6

The Merging Path Plot

factorplot — 1.1-2

Graphical Presentation of Simple Contrasts

factorQR — 0.1-4

Bayesian quantile regression factor models

FactorsR — 1.4

Identification of the Factors Affecting Species Richness

factorstochvol — 0.9

Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models

Factoshiny — 1.0.7

Perform Factorial Analysis from 'FactoMineR' with a Shiny Application

factualR — 0.5

thin wrapper for the Factual.com server API

FADA — 1.3.4

Variable Selection for Supervised Classification in High Dimension

FAdist — 2.2

Distributions that are Sometimes Used in Hydrology

Fahrmeir — 2016.5.31

Data from the Book "Multivariate Statistical Modelling Based on Generalized Linear Models", First Edition, by Ludwig Fahrmeir and Gerhard Tutz

fail — 1.3

File Abstraction Interface Layer (FAIL)

faisalconjoint — 1.15

Faisal Conjoint Model: A New Approach to Conjoint Analysis

fakemake — 1.4.1

Mock the Unix Make Utility

fakeR — 1.0

Simulates Data from a Data Frame of Different Variable Types

falcon — 0.2

Finding Allele-Specific Copy Number in Next-Generation Sequencing Data

falconx — 0.2

Finding Allele-Specific Copy Number in Whole-Exome Sequencing Data

fam.recrisk — 0.1

Familial Recurrence Risk

fam2r — 1.2

From 'Familias' to R

fame — 2.21

Interface for FAME Time Series Database

FamEvent — 2.0

Family Age-at-Onset Data Simulation and Penetrance Estimation

Familias — 2.4

Probabilities for Pedigrees Given DNA Data

FAMILY — 0.1.19

A Convex Formulation for Modeling Interactions with Strong Heredity

FAmle — 1.3.5

Maximum Likelihood and Bayesian Estimation of Univariate Probability Distributions

FAMoS — 0.2.0

A Flexible Algorithm for Model Selection

famSKATRC — 1.1.0

Family Sequence Kernel Association Test for Rare and Common Variants

FAMT — 2.5

Factor Analysis for Multiple Testing (FAMT) : simultaneous tests under dependence in high-dimensional data

fanc — 2.2

Penalized Likelihood Factor Analysis via Nonconvex Penalty

fANCOVA — 0.5-1

Nonparametric Analysis of Covariance

fancycut — 0.1.2

A Fancy Version of 'base::cut'

fanplot — 3.4.1

Visualisation of Sequential Probability Distributions Using Fan Charts

fansi — 0.4.0

ANSI Control Sequence Aware String Functions

FAOSTAT — 2.0

Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations

faoutlier — 0.7.2

Influential Case Detection Methods for Factor Analysis and Structural Equation Models

far — 0.6-5

Modelization for Functional AutoRegressive Processes

faraway — 1.0.7

Functions and Datasets for Books by Julian Faraway

FARDEEP — 1.0.1

Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares

farff — 1.1

A Faster 'ARFF' File Reader and Writer

FarmSelect — 1.0.2

Factor Adjusted Robust Model Selection

FarmTest — 1.0.3

Factor Adjusted Robust Multiple Testing

farver — 1.1.0

Vectorised Colour Conversion and Comparison

FASeg — 0.1.9

Joint Segmentation of Correlated Time Series

fAsianOptions — 3042.82

Rmetrics - EBM and Asian Option Valuation

fasjem — 1.1.2

A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models

fAssets — 3042.84

Rmetrics - Analysing and Modelling Financial Assets

fast — 0.64

Implementation of the Fourier Amplitude Sensitivity Test (FAST)

fasta — 0.1.0

Fast Adaptive Shrinkage/Thresholding Algorithm

fastAdaboost — 1.0.0

a Fast Implementation of Adaboost

FastBandChol — 0.1.1

Fast Estimation of a Covariance Matrix by Banding the Cholesky Factor

fastclime — 1.4.1

A Fast Solver for Parameterized LP Problems, Constrained L1 Minimization Approach to Sparse Precision Matrix Estimation and Dantzig Selector

fastcluster — 1.1.25

Fast Hierarchical Clustering Routines for R and 'Python'

fastcmh — 0.2.7

Significant Interval Discovery with Categorical Covariates

fastcox — 1.1.3

Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm

fastdigest — 0.6-3

Fast, Low Memory-Footprint Digests of R Objects

fastDummies — 1.3.0

Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables

fasteraster — 1.1.1

Raster Image Processing and Vector Recognition

fasterElasticNet — 1.1.2

An Amazing Fast Way to Fit Elastic Net

fasterize — 1.0.0

Fast Polygon to Raster Conversion

FastGaSP — 0.5.1

Fast and Exact Computation of Gaussian Stochastic Process

fastGHQuad — 1.0

Fast 'Rcpp' Implementation of Gauss-Hermite Quadrature

fastglm — 0.0.1

Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'

FastGP — 1.2

Efficiently Using Gaussian Processes with Rcpp and RcppEigen

fastGraph — 1.1

Fast Drawing and Shading of Graphs of Statistical Distributions

FastHCS — 0.0.6

FastHCS Robust Algorithm for Principal Component Analysis

fastHICA — 1.0.2

Hierarchical Independent Component Analysis: a Multi-Scale Sparse Non-Orthogonal Data-Driven Basis

fastICA — 1.2-1

FastICA Algorithms to Perform ICA and Projection Pursuit

FastImputation — 2.0

Learn from Training Data then Quickly Fill in Missing Data

fastJT — 1.0.4

Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies

FastKM — 1.0

A Fast Multiple-Kernel Method Based on a Low-Rank Approximation

FastKNN — 0.0.1

Fast k-Nearest Neighbors

fastLink — 0.5.0

Fast Probabilistic Record Linkage with Missing Data

FastLZeroSpikeInference — 2018.12.10

Fast Nonconvex Deconvolution of Calcium Imaging Data

fastM — 0.0-4

Fast Computation of Multivariate M-Estimators

fastmaRching — 1.1.0

Fast Marching Method for Modelling Evolving Boundaries

fastmatch — 1.1-0

Fast match() function

fastNaiveBayes — 1.1.2

Extremely Fast Implementation of a Naive Bayes Classifier

fastnet — 0.1.6

Large-Scale Social Network Analysis

FastPCS — 0.1.3

FastPCS Robust Fit of Multivariate Location and Scatter

fastpseudo — 0.1

Fast Pseudo Observations

fastqcr — 0.1.2

Quality Control of Sequencing Data

fastR — 0.10.3

Foundations and Applications of Statistics Using R

fastR2 — 1.2.1

Foundations and Applications of Statistics Using R (2nd Edition)

FastRCS — 0.0.8

Fits the FastRCS Robust Multivariable Linear Regression Model

fastrtext — 0.3.2

'fastText' Wrapper for Text Classification and Word Representation

FastRWeb — 1.1-1.1

Fast Interactive Framework for Web Scripting Using R

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