{SeleMix} 1.0.2: Selective Editing via Mixture Models
{stpm} 1.7.9: Stochastic Process Model for Analysis of Longitudinal and Time-to-Event Outcomes
{transx} 0.0.1: Transform Univariate Time Series
{oxcgrt} 0.1.0: An Interface to the Oxford COVID-19 Government Response Tracker API
{geodimension} 1.0.0: Definition of Geographic Dimensions
{archeofrag} 0.6.0: Refitting and Stratigraphic Analysis in Archeology
{iNZightRegression} 1.3.0: Tools for Exploring Regression Models with ‘iNZight’
{IMEC} 0.2.0: Ising Model of Explanatory Coherence
{GPP} 0.1: Gaussian Process Projection
{arctools} 1.0.0: Processing and Physical Activity Summaries of Minute Level Activity Data
{campfin} 1.0.4: Wrangle Campaign Finance Data
{gfiExtremes} 1.0.0: Generalized Fiducial Inference for Extremes
{etrader} 0.1.2: ‘ETRADE’ API Interface for R
{diathor} 0.0.1: Calculate Ecological Information and Diatom Based Indices
{affinitymatrix} 0.1.0: Estimation of Affinity Matrix
{NPMLEmix} 1.1: Two-Groups Mixture Model with Covariates
{LMoFit} 0.1.6: Advanced L-Moment Fitting of Distributions
{EwR} 1.4: Econometrics with R
{stevedata} 0.1.0: Steve’s Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
{statswalesr} 0.1.1: Easily Extract Data from ‘StatsWales’
{ifultools} 2.0-19: Insightful Research Tools
{geomnet} 0.3.1: Network Visualization in the ‘ggplot2’ Framework
{fdaoutlier} 0.1.1: Outlier Detection Tools for Functional Data Analysis
{mitre} 0.1.1: Cybersecurity MITRE Standards Data and Digraphs
{envir} 0.1.0: Manage R Environments Better
{twowaytests} 1.0: Two-Way Tests in Independent Groups Designs
{tvem} 1.0-0: Time-Varying Effect Models
{ResearchAssociate} 0.0.1: Retrieving Publications from PubMed Database Based on User Query
{DatastreamDSWS2R} 1.7.9: Provides a Link Between the ‘Refinitiv Datastream’ System and R
{vindecodr} 0.1.1: Provides an Interface to the Department of Transportation VIN Decoder
{spfda} 0.9.0: Function-on-Scalar Regression with Group-Bridge Penalty
{reconstructKM} 0.3.0: Reconstruct Individual-Level Data from Published KM Plots
{GREMLINS} 0.2.0: Generalized Multipartite Networks
{DPQmpfr} 0.3-0: DPQ (Density, Probability, Quantile) Distribution Computations using MPFR
{CME.assistant} 1.1.0: Reusable Assisting Functions for Child Mortality Estimation
{chess} 1.0.0: Read, Write, Create and Explore Chess Games
{kim} 0.1.11: Functions for Behavioral Science Researchers
{htsr} 1.0.4: Hydro-Meteo Time-Series
{gfpop} 1.0.0: Graph-Constrained Functional Pruning Optimal Partitioning
{ezr} 0.1.5: Easy Use of R via Shiny App for Basic Analyses of Experimental Data
{EigenR} 1.0.0: Complex Matrix Algebra with ‘Eigen’
{eatGADS} 0.15.2: Data Management of Large Hierarchical Data
{wal} 0.0.1: Read and Write ‘wal’ Bitmap Image Files
{Q7} 0.1.0: Types and Features for Object Oriented Programming
{pencal} 0.1.1: Penalized Regression Calibration (PRC)
{CFAcoop} 0.1.0: Colony Formation Assay: Taking into Account Cellular Cooperation
{wikifacts} 0.4.1: Get Facts and Data from Wikipedia and Wikidata
{SpatialRegimes} 0.2: Spatial Constrained Clusterwise Regression
{rwa} 0.0.3: Perform a Relative Weights Analysis
{mixcure} 2.0: Mixture Cure Models
{migrate} 0.2.0: Create Credit State Migration (Transition) Matrices
{ennet} 0.1.0: Utilities to Extract and Analyse Text Data from the Emergency Nutrition Network Forum
{LPsmooth} 0.1.3: LP Smoothed Inference and Graphics
{eBsc} 4.12: “Empirical Bayes Smoothing Splines with Correlated Errors”
{gwasforest} 1.0.0: Make Forest Plot with GWAS Data
{aRbs} 0.0.1: Find Arbitrage Opportunities for Sports Matches
{gwer} 2.1: Geographically Weighted Elliptical Regression
{phonfieldwork} 0.0.10: Linguistic Phonetic Fieldwork Tools
{LatticeDesign} 2.0-2: Lattice-Based Space-Filling Designs
{UKFE} 0.1.1: UK Flood Estimation
{tidyseurat} 0.1.17: Brings Seurat to the Tidyverse
{Q2q} 0.1.0: Interpolating Age-Specific Mortality Rates at All Ages
{NADIA} 0.4.0: NA Data Imputation Algorithms
{mappoly} 0.2.1: Genetic Linkage Maps in Autopolyploids
{joinet} 0.0.6: Multivariate Elastic Net Regression
{FSinR} 2.0.5: Feature Selection
{TGST} 1.0: Targeted Gold Standard Testing
{text} 0.9.0: Analyses of Text using Natural Language Processing and Machine Learning
{scTenifoldKnk} 1.0.0: In-Silico Knockout Experiments from Single-Cell Gene Regulatory Networks
{personalr} 1.0.1: Automated Personal Package Setup
{NFLSimulatoR} 0.1.0: Simulating Plays and Drives in the NFL
{mikropml} 0.0.1: User-Friendly R Package for Supervised Machine Learning Pipelines
{IAcsSPCR} 1.2.1: Data and Functions for “An Intro. to Accept. Samp. & SPC/R”
{graphhopper} 0.1.1: An R Interface to the ‘GraphHopper’ Directions API
{CVEK} 0.1-1: Cross-Validated Kernel Ensemble
{cpss} 0.0.2: Change-Point Detection by Sample-Splitting Methods
{cmfrec} 2.3.2: Collective Matrix Factorization for Recommender Systems
{BCT} 1.0: Bayesian Context Trees for Discrete Time Series
{bcr} 0.1.0: Extract Moroccan Financial Data
{WinRatio} 1.0: Win Ratio for Prioritized Outcomes and 95% Confidence Interval
{stacks} 0.1.0: Tidy Model Stacking
{ppmSuite} 0.1.1: A Collection of Models that Employ a Prior Distribution on Partitions
{pda} 1.0: Privacy-Preserving Distributed Algorithms
{M2SMJF} 1.0: Multi-Modal Similarity Matrix Joint Factorization
{fctbases} 1.0.0: Functional Bases
{WRI} 0.1.0: Wasserstein Regression Inference
{healthyR.data} 1.0.0: Data Only Package to ‘healthyR’
{EcotoneFinder} 0.2.2: Characterising and Locating Ecotones and Communities
{GWmodel} 2.2-2: Geographically-Weighted Models
{kofdata} 0.1.4: Get Data from the ‘KOF Datenservice’ API
{modmarg} 0.9.6: Calculating Marginal Effects and Levels with Errors

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