All packages

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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

FeatureExtraction — 3.5.2

Generating Features for a Cohort

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

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 — 4.0.1

Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources

federalregister — 0.2.0

Client Package for the U.S. Federal Register API

FedIRT — 0.1.0

Federated Item Response Theory Models

fedmatch — 2.0.5

Fast, Flexible, and User-Friendly Record Linkage Methods

fedregs — 1.0.0

Text Analysis of the US Code of Federal Regulations

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 — 0.5.0

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 — 0.0.2

Facilitate Exploration of touRR optimisatioN

FertBoot — 0.5.0

Fertilizer Response Curve Analysis by Bootstrapping Residuals

fertilmodel — 1.1

Fertility Models

FertNet — 0.1.2

Process Data from the Social Networks and Fertility Survey

FESta — 1.0.0

Fishing Effort Standardisation

fetch — 0.1.5

Fetch Data from Various Data Sources

fetchGoogleAnalyticsR — 0.1.0

Get Data from Google Analytics via the 'Windsor.ai' API

fetchSalesforceR — 0.1.0

Get Data from Salesforce via the 'Windsor.ai' API

fExtremes — 4032.84

Rmetrics - Modelling Extreme Events in Finance

ff — 4.0.12

Memory-Efficient Storage of Large Data on Disk and Fast Access Functions

FFD — 1.0-9

Freedom from Disease

FFdownload — 1.1.1

Download Data from Kenneth French's Website

fflr — 2.2.4

Retrieve ESPN Fantasy Football Data

ffmanova — 1.1.2

Fifty-Fifty MANOVA

ffp — 0.2.2

Fully Flexible Probabilities for Stress Testing and Portfolio Construction

ffscrapr — 1.4.8

API Client for Fantasy Football League Platforms

FFTrees — 2.0.0

Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

fftw — 1.0-8

Fast FFT and DCT Based on the FFTW Library

fftwtools — 0.9-11

Wrapper for 'FFTW3' Includes: One-Dimensional, Two-Dimensional, Three-Dimensional, and Multivariate Transforms

FGalgorithm — 1.0

Flury and Gautschi algorithms

fGarch — 4033.92

Rmetrics - Autoregressive Conditional Heteroskedastic Modelling

fgdr — 1.1.1

Utilities for Fundamental Geo-Spatial Data

fgeo — 1.1.4

Analyze Forest Diversity and Dynamics

fgeo.analyze — 1.1.14

Analyze ForestGEO Data

fgeo.plot — 1.1.11

Plot ForestGEO Data

fgeo.tool — 1.2.9

Import and Manipulate 'ForestGEO' Data

fgeo.x — 1.1.4

Access Small ForestGEO Datasets For Examples

fgitR — 0.2.0

Using 'FastGit' to Accelerate the Access to 'GitHub'

FGLMtrunc — 0.1.0

Truncated Functional Generalized Linear Models

fglsnet — 1.0

A Feasible Generalized Least Squares Estimator for Regression Analysis of Outcomes with Network Dependence

fgm — 1.0

Partial Separability and Functional Gaussian Graphical Models

Fgmutils — 0.9.5

Forest Growth Model Utilities

fgui — 1.0-8

Function GUI

FHDI — 1.4.1

Fractional Hot Deck and Fully Efficient Fractional Imputation

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