All packages

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fabCI — 0.2

FAB Confidence Intervals

FABInference — 0.1

FAB p-Values and Confidence Intervals

fabisearch — 0.0.4.4

Change Point Detection in High-Dimensional Time Series Networks

fable — 0.3.2

Forecasting Models for Tidy Time Series

fable.ata — 0.0.3

'ATAforecasting' Modelling Interface for 'fable' Framework

fable.prophet — 0.1.0

Prophet Modelling Interface for 'fable'

fabletools — 0.3.2

Core Tools for Packages in the 'fable' Framework

fabMix — 5.0

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

fabricatr — 1.0.0

Imagine Your Data Before You Collect It

fabricerin — 0.1.2

Create Easily Canvas in 'shiny' and 'RMarkdown' Documents

face — 0.1-7

Fast Covariance Estimation for Sparse Functional Data

facerec — 0.1.0

An Interface for Face Recognition

factiv — 0.1.0

Instrumental Variables Estimation for 2^k Factorial Experiments

FACTMLE — 1.1

Maximum Likelihood Factor Analysis

FactoClass — 1.2.7

Combination of Factorial Methods and Cluster Analysis

factoextra — 1.0.7

Extract and Visualize the Results of Multivariate Data Analyses

FactoInvestigate — 1.8

Automatic Description of Factorial Analysis

FactoMineR — 2.6

Multivariate Exploratory Data Analysis and Data Mining

factoptd — 1.0.3

Factorial Optimal Designs for Two-Colour cDNA Microarray Experiments

factor.switching — 1.3

Post-Processing MCMC Outputs of Bayesian Factor Analytic Models

FactorAssumptions — 2.0.1

Set of Assumptions for Factor and Principal Component Analysis

FactorCopula — 0.8.1

Factor, Bi-Factor and Second-Order Copula Models

factorial2x2 — 0.2.0

Design and Analysis of a 2x2 Factorial Trial

factormodel — 1.0

Factor Model Estimation Using Proxy Variables

factorplot — 1.1-2

Graphical Presentation of Simple Contrasts

FactorsR — 1.5

Identification of the Factors Affecting Species Richness

factorstochvol — 1.0.1

Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models

factory — 0.1.0

Build Function Factories

Factoshiny — 2.4

Perform Factorial Analysis from 'FactoMineR' with a Shiny Application

factset.analyticsapi.engines — 3.0.1

'FactSet' Engines API Client

fad — 0.9-1

Factor Analysis for Data

FADA — 1.3.5

Variable Selection for Supervised Classification in High Dimension

FAdist — 2.4

Distributions that are Sometimes Used in Hydrology

FADPclust — 0.1.0

Functional Data Clustering Using Adaptive Density Peak Detection

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)

fairadapt — 0.2.4

Fair Data Adaptation with Quantile Preservation

FAIRmaterials — 0.0.2

Make Materials Data FAIR

FairMclus — 2.2.1

Clustering for Data with Sensitive Attribute

fairml — 0.7

Fair Models in Machine Learning

fairmodels — 1.2.1

Flexible Tool for Bias Detection, Visualization, and Mitigation

fairness — 1.2.2

Algorithmic Fairness Metrics

fairsubset — 1.0

Choose Representative Subsets

fake — 1.0.0

Flexible Data Simulation Using the Multivariate Normal Distribution

fakmct — 0.1.0

Fuzzy Adaptive Resonance Theory K-Means Clustering Technique

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

fame — 2.21.1

Interface for FAME Time Series Database

FAMetA — 0.1.4

Fatty Acid Metabolic Analysis

familial — 1.0.4

Statistical Tests of Familial Hypotheses

familiar — 1.2.0

End-to-End Automated Machine Learning and Model Evaluation

Families — 1.0.1

Kinship Ties in Virtual Populations

FamilyRank — 1.0

Algorithm for Ranking Predictors Using Graphical Domain Knowledge

FAmle — 1.3.7

Maximum Likelihood and Bayesian Estimation of Univariate Probability Distributions

FAMoS — 0.3.0

A Flexible Algorithm for Model Selection

famSKATRC — 1.1.0

Family Sequence Kernel Association Test for Rare and Common Variants

FAMT — 2.6

Factor Analysis for Multiple Testing (FAMT) : Simultaneous Tests under Dependence in High-Dimensional Data

fanc — 2.3.5

Penalized Likelihood Factor Analysis via Nonconvex Penalty

fANCOVA — 0.6-1

Nonparametric Analysis of Covariance

fancycut — 0.1.2

A Fancy Version of 'base::cut'

fanovaGraph — 1.5

Building Kriging Models from FANOVA Graphs

fanplot — 4.0.0

Visualisation of Sequential Probability Distributions Using Fan Charts

fansi — 1.0.3

ANSI Control Sequence Aware String Functions

FAO56 — 0.1.0

Evapotranspiration Based on FAO Penman-Monteith Equation

FAOSTAT — 2.2.3

Download Data from the FAOSTAT Database

faoutlier — 0.7.6

Influential Case Detection Methods for Factor Analysis and Structural Equation Models

faq — 0.1.1

Create FAQ Page

far — 0.6-6

Modelization for Functional AutoRegressive Processes

faraway — 1.0.8

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 — 1.1.1

A Faster 'ARFF' File Reader and Writer

FarmSelect — 1.0.2

Factor Adjusted Robust Model Selection

FarmTest — 2.2.0

Factor-Adjusted Robust Multiple Testing

farr — 0.2.27

Data and Code for Financial Accounting Research

farrell — 0.2.1

Interactive Interface to Data Envelopment Analysis Modeling

farver — 2.1.1

High Performance Colour Space Manipulation

fasano.franceschini.test — 2.1.0

Fasano-Franceschini Test: A Multidimensional Kolmogorov-Smirnov Two-Sample Test

FASeg — 0.1.9

Joint Segmentation of Correlated Time Series

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

fasstr — 0.4.1

Analyze, Summarize, and Visualize Daily Streamflow Data

fasta — 0.1.0

Fast Adaptive Shrinkage/Thresholding Algorithm

fastadi — 0.1.1

Self-Tuning Data Adaptive Matrix Imputation

fastai — 2.2.0

Interface to 'fastai'

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 — 1.2.3

Fast Hierarchical Clustering Routines for R and 'Python'

fastcmh — 0.2.7

Significant Interval Discovery with Categorical Covariates

fastcmprsk — 1.1.1

Fine-Gray Regression via Forward-Backward Scan

fastCorrDiff — 0.5

Fast Differential Correlation Matrix Screening

fastcox — 1.1.3

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

FastCUB — 0.0.2

Fast EM and Best-Subset Selection for CUB Models for Rating Data

fastdigest — 0.6-3

Fast, Low Memory-Footprint Digests of R Objects

fastDummies — 1.6.3

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

fasterElasticNet — 1.1.2

An Amazing Fast Way to Fit Elastic Net

fasterize — 1.0.3

Fast Polygon to Raster Conversion

FastGaSP — 0.5.2

Fast and Exact Computation of Gaussian Stochastic Process

fastGHQuad — 1.0.1

Fast 'Rcpp' Implementation of Gauss-Hermite Quadrature

fastGLCM — 1.0.2

'GLCM' Texture Features

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