All packages

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f1dataR — 1.5.3

Access Formula 1 Data

FaaSr — 1.2.1

FaaS (Function as a Service) Package

fabCI — 0.2

FAB Confidence Intervals

FABInference — 0.1

FAB p-Values and Confidence Intervals

fabisearch — 0.0.4.5

Change Point Detection in High-Dimensional Time Series Networks

fable — 0.3.4

Forecasting Models for Tidy Time Series

fable.ata — 0.0.6

'ATAforecasting' Modelling Interface for 'fable' Framework

fable.prophet — 0.1.0

Prophet Modelling Interface for 'fable'

fableCount — 0.1.0

INGARCH and GLARMA Models for Count Time Series in Fable Framework

fabletools — 0.4.2

Core Tools for Packages in the 'fable' Framework

fabMix — 5.1

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

fabPrediction — 1.0.4

Compute FAB (Frequentist and Bayes) Conformal Prediction Intervals

fabR — 2.1.0

Wrapper Functions Collection Used in Data Pipelines

fabricatr — 1.0.2

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

facebookadsR — 0.1.0

Access to Facebook Ads via the 'Windsor.ai' API

facebookleadsR — 0.1.0

Get Facebook Leads Ads Data via the 'Windsor.ai' API

facebookorganicR — 0.1.0

Get Data from 'Facebook Organic' via the 'Windsor.ai' API

facerec — 0.1.0

An Interface for Face Recognition

facmodCS — 1.0

Cross-Section Factor Models

facmodTS — 1.0

Time Series Factor Models for Asset Returns

FACT — 0.1.1

Feature Attributions for ClusTering

factiv — 0.1.0

Instrumental Variables Estimation for 2^k Factorial Experiments

FACTMLE — 1.1

Maximum Likelihood Factor Analysis

FactoClass — 1.2.9

Combination of Factorial Methods and Cluster Analysis

factoextra — 1.0.7

Extract and Visualize the Results of Multivariate Data Analyses

FactoInvestigate — 1.9

Automatic Description of Factorial Analysis

FactoMineR — 2.11

Multivariate Exploratory Data Analysis and Data Mining

factoptd — 1.0.3

Factorial Optimal Designs for Two-Colour cDNA Microarray Experiments

factor.switching — 1.4

Post-Processing MCMC Outputs of Bayesian Factor Analytic Models

factor256 — 0.1.0

Use Raw Vectors to Minimize Memory Consumption of Factors

FactorAssumptions — 2.0.1

Set of Assumptions for Factor and Principal Component Analysis

FactorCopula — 0.9.3

Factor, Bi-Factor, Second-Order and Factor Tree Copula Models

factorial2x2 — 0.2.0

Design and Analysis of a 2x2 Factorial Trial

factormodel — 1.0

Factor Model Estimation Using Proxy Variables

factorstochvol — 1.1.0

Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models

factory — 0.1.0

Build Function Factories

Factoshiny — 2.6

Perform Factorial Analysis from 'FactoMineR' with a Shiny Application

factReg — 1.0.0

Multi-Environment Genomic Prediction with Penalized Factorial Regression

factset.analyticsapi.engines — 3.0.1

'FactSet' Engines API Client

factset.protobuf.stach.v2 — 1.0.6

'FactSet' 'STACH V2' Library

factset.protobuf.stachextensions — 1.0.4

'FactSet' 'STACH' Extensions Package

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 — 1.1.1

Functional Data Clustering Using Adaptive Density Peak Detection

faersquarterlydata — 1.1.0

FDA Adverse Event Reporting System Quarterly Data Extracting Tool

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 — 0.2.7

Fair Data Adaptation with Quantile Preservation

FAIRmaterials — 0.4.1

Make Materials Data FAIR

FairMclus — 2.2.1

Clustering for Data with Sensitive Attribute

fairml — 0.8

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 — 1.4.0

Flexible Data Simulation Using the Multivariate Normal Distribution

fakemake — 1.11.1

Mock the Unix Make Utility

fakir — 1.0.0

Generate Fake Datasets for Prototyping and Teaching

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

FAMetA — 0.1.6

Fatty Acid Metabolic Analysis

FamEvent — 3.1

Family Age-at-Onset Data Simulation and Penetrance Estimation

familial — 1.0.5

Statistical Tests of Familial Hypotheses

familiar — 1.4.6

End-to-End Automated Machine Learning and Model Evaluation

Familias — 2.6.1

Probabilities for Pedigrees Given DNA Data

Families — 2.0.2

Kinship Ties in (Virtual) Multi-Generation 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 — 2.3.11

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'

fangs — 0.2.13

Feature Allocation Neighborhood Greedy Search Algorithm

fanovaGraph — 1.5

Building Kriging Models from FANOVA Graphs

fanplot — 4.0.0

Visualisation of Sequential Probability Distributions Using Fan Charts

fansi — 1.0.6

ANSI Control Sequence Aware String Functions

fanyi — 0.0.7

Translate Words or Sentences via Online Translators

FAO56 — 1.0

Evapotranspiration Based on FAO Penman-Monteith Equation

FAOSTAT — 2.4.0

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 — 0.3.0

Data and Code for Financial Accounting Research

farrell — 0.2.1

Interactive Interface to Data Envelopment Analysis Modeling

farver — 2.1.2

High Performance Colour Space Manipulation

FAS — 1.0.0

Factor-Augmented Sparse Regression Tuning-Free Testing

fasano.franceschini.test — 2.2.2

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

fase — 1.0.1

Functional Adjacency Spectral Embedding

FASeg — 0.1.9

Joint Segmentation of Correlated Time Series

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