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  • Task Views

  • 40 R Task Views (as at 6 May 2019)Task view Description

    1 Bayesian Bayesian Inference2 ChemPhys Chemometrics and Computational Physics3 ClinicalTrials Clinical Trial Design, Monitoring, and Analysis4 Cluster Cluster Analysis & Finite Mixture Models5 Databases Databases with R6 DifferentialEquations Differential Equations7 Distributions Probability Distributions8 Econometrics Econometrics9 Environmetrics Analysis of Ecological and Environmental Data

    10 ExperimentalDesign Design of Experiments (DoE) & Analysis of Experimental Data11 ExtremeValue Extreme Value Analysis12 Finance Empirical Finance13 FunctionalData Functional Data Analysis14 Genetics Statistical Genetics15 Graphics Graphic Displays & Dynamic Graphics & Graphic Devices & Visualization16 HighPerformanceComputing High-Performance and Parallel Computing with R17 Hydrology Hydrological Data and Modeling18 MachineLearning Machine Learning & Statistical Learning19 MedicalImaging Medical Image Analysis20 MetaAnalysis Meta-Analysis https://cran.r-project.org/web/views/

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    Task viewDescription

    1BayesianBayesian Inference

    2ChemPhysChemometrics and Computational Physics

    3ClinicalTrialsClinical Trial Design, Monitoring, and Analysis

    4ClusterCluster Analysis & Finite Mixture Models

    5DatabasesDatabases with R

    6DifferentialEquationsDifferential Equations

    7DistributionsProbability Distributions

    8EconometricsEconometrics

    9EnvironmetricsAnalysis of Ecological and Environmental Data

    10ExperimentalDesignDesign of Experiments (DoE) & Analysis of Experimental Data

    11ExtremeValueExtreme Value Analysis

    12FinanceEmpirical Finance

    13FunctionalDataFunctional Data Analysis

    14GeneticsStatistical Genetics

    15GraphicsGraphic Displays & Dynamic Graphics & Graphic Devices & Visualization

    16HighPerformanceComputingHigh-Performance and Parallel Computing with R

    17HydrologyHydrological Data and Modeling

    18MachineLearningMachine Learning & Statistical Learning

    19MedicalImagingMedical Image Analysis

    20MetaAnalysisMeta-Analysis

    Task viewDescription

    21MissingDataMissing Data

    22ModelDeploymentModel Deployment with R

    23MultivariateMultivariate Statistics

    24NaturalLanguageProcessingNatural Language Processing

    25NumericalMathematicsNumerical Mathematics

    26OfficialStatisticsOfficial Statistics & Survey Methodology

    27OptimizationOptimization and Mathematical Programming

    28PharmacokineticsAnalysis of Pharmacokinetic Data

    29PhylogeneticsPhylogenetics, Especially Comparative Methods

    30PsychometricsPsychometric Models and Methods

    31ReproducibleResearchReproducible Research

    32RobustRobust Statistical Methods

    33SocialSciencesStatistics for the Social Sciences

    34SpatialAnalysis of Spatial Data

    35SpatioTemporalHandling and Analyzing Spatio-Temporal Data

    36SurvivalSurvival Analysis

    37TeachingStatisticsTeaching Statistics

    38TimeSeriesTime Series Analysis

    39WebTechnologiesWeb Technologies and Services

    40gRgRaphical Models in R

    https://cran.r-project.org/web/views/Bayesian.htmlhttps://cran.r-project.org/web/views/ExperimentalDesign.htmlhttps://cran.r-project.org/web/views/ExtremeValue.htmlhttps://cran.r-project.org/web/views/Finance.htmlhttps://cran.r-project.org/web/views/FunctionalData.htmlhttps://cran.r-project.org/web/views/Genetics.htmlhttps://cran.r-project.org/web/views/Graphics.htmlhttps://cran.r-project.org/web/views/HighPerformanceComputing.htmlhttps://cran.r-project.org/web/views/Hydrology.htmlhttps://cran.r-project.org/web/views/MachineLearning.htmlhttps://cran.r-project.org/web/views/MedicalImaging.htmlhttps://cran.r-project.org/web/views/ChemPhys.htmlhttps://cran.r-project.org/web/views/MetaAnalysis.htmlhttps://cran.r-project.org/web/views/MissingData.htmlhttps://cran.r-project.org/web/views/ModelDeployment.htmlhttps://cran.r-project.org/web/views/Multivariate.htmlhttps://cran.r-project.org/web/views/NaturalLanguageProcessing.htmlhttps://cran.r-project.org/web/views/NumericalMathematics.htmlhttps://cran.r-project.org/web/views/OfficialStatistics.htmlhttps://cran.r-project.org/web/views/Optimization.htmlhttps://cran.r-project.org/web/views/Pharmacokinetics.htmlhttps://cran.r-project.org/web/views/Phylogenetics.htmlhttps://cran.r-project.org/web/views/ClinicalTrials.htmlhttps://cran.r-project.org/web/views/Psychometrics.htmlhttps://cran.r-project.org/web/views/ReproducibleResearch.htmlhttps://cran.r-project.org/web/views/Robust.htmlhttps://cran.r-project.org/web/views/SocialSciences.htmlhttps://cran.r-project.org/web/views/Spatial.htmlhttps://cran.r-project.org/web/views/SpatioTemporal.htmlhttps://cran.r-project.org/web/views/Survival.htmlhttps://cran.r-project.org/web/views/TeachingStatistics.htmlhttps://cran.r-project.org/web/views/TimeSeries.htmlhttps://cran.r-project.org/web/views/WebTechnologies.htmlhttps://cran.r-project.org/web/views/Cluster.htmlhttps://cran.r-project.org/web/views/gR.htmlhttps://cran.r-project.org/web/views/Databases.htmlhttps://cran.r-project.org/web/views/DifferentialEquations.htmlhttps://cran.r-project.org/web/views/Distributions.htmlhttps://cran.r-project.org/web/views/Econometrics.htmlhttps://cran.r-project.org/web/views/Environmetrics.html

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  • 40 R Task Views (as at 6 May 2019)Task view Description

    21MissingData Missing Data22ModelDeployment Model Deployment with R23Multivariate Multivariate Statistics24NaturalLanguageProcessing Natural Language Processing25NumericalMathematics Numerical Mathematics26OfficialStatistics Official Statistics & Survey Methodology27Optimization Optimization and Mathematical Programming28Pharmacokinetics Analysis of Pharmacokinetic Data29Phylogenetics Phylogenetics, Especially Comparative Methods30Psychometrics Psychometric Models and Methods31ReproducibleResearch Reproducible Research32Robust Robust Statistical Methods33SocialSciences Statistics for the Social Sciences34Spatial Analysis of Spatial Data35SpatioTemporal Handling and Analyzing Spatio-Temporal Data36Survival Survival Analysis37TeachingStatistics Teaching Statistics38TimeSeries Time Series Analysis39WebTechnologies Web Technologies and Services40gR gRaphical Models in R

    https://cran.r-project.org/web/views/

    https://cran.r-project.org/web/views/MissingData.htmlhttps://cran.r-project.org/web/views/ModelDeployment.htmlhttps://cran.r-project.org/web/views/Multivariate.htmlhttps://cran.r-project.org/web/views/NaturalLanguageProcessing.htmlhttps://cran.r-project.org/web/views/NumericalMathematics.htmlhttps://cran.r-project.org/web/views/OfficialStatistics.htmlhttps://cran.r-project.org/web/views/Optimization.htmlhttps://cran.r-project.org/web/views/Pharmacokinetics.htmlhttps://cran.r-project.org/web/views/Phylogenetics.htmlhttps://cran.r-project.org/web/views/Psychometrics.htmlhttps://cran.r-project.org/web/views/ReproducibleResearch.htmlhttps://cran.r-project.org/web/views/Robust.htmlhttps://cran.r-project.org/web/views/SocialSciences.htmlhttps://cran.r-project.org/web/views/Spatial.htmlhttps://cran.r-project.org/web/views/SpatioTemporal.htmlhttps://cran.r-project.org/web/views/Survival.htmlhttps://cran.r-project.org/web/views/TeachingStatistics.htmlhttps://cran.r-project.org/web/views/TimeSeries.htmlhttps://cran.r-project.org/web/views/WebTechnologies.htmlhttps://cran.r-project.org/web/views/gR.html

  • CRAN Task Views• http://cran.r-project.org/web/views/

    • https://cran.r-project.org/web/views/Psychometrics.html• http://cran.r-project.org/web/views/SocialSciences.html• https://cran.r-project.org/web/views/Graphics.html• http://cran.r-project.org/web/views/Cluster.html• http://cran.r-project.org/web/views/Survival.html• http://cran.r-project.org/web/views/TimeSeries.html• http://cran.r-project.org/web/views/Econometrics.html• http://cran.r-project.org/web/views/Bayesian.html• http://cran.r-project.org/web/views/MachineLearning.html

    •…4

    http://cran.r-project.org/web/views/https://cran.r-project.org/web/views/Psychometrics.htmlhttp://cran.r-project.org/web/views/SocialSciences.htmlhttps://cran.r-project.org/web/views/Graphics.htmlhttp://cran.r-project.org/web/views/Cluster.htmlhttp://cran.r-project.org/web/views/Survival.htmlhttp://cran.r-project.org/web/views/TimeSeries.htmlhttp://cran.r-project.org/web/views/Econometrics.htmlhttp://cran.r-project.org/web/views/Bayesian.htmlhttp://cran.r-project.org/web/views/MachineLearning.html

  • Installation Through CRAN Task Views

    install.packages("ctv")library(ctv)install.views("Bayesian")install.views("Cluster")install.views("Econometrics")

  • Bayesian Inference Task View

    • General Bayesian Model Fitting• Specific Model or Methods • Post-Estimation Tools• Packages for Learning Bayesian Statistics• Packages that link R to other sampling engines

    https://cran.r-project.org/web/views/Bayesian.html

    The Bayesian Inference Task View is written by Jong Hee Park (Seoul National University, South Korea), Andrew D. Martin (University of Michigan, Ann Arbor, MI, USA), and Kevin M. Quinn (UC Berkeley, Berkeley, CA, USA). Please email the task view maintainer with suggestions.

  • Chemometrics and Computational Physics• Thermodynamics• Interfaces to External Libraries• Spectroscopy• Mass Spectrometry• Functional Magnetic Resonance Imaging• Fluorescence Lifetime Imaging Microscopy• Fluorescence Excitation-Emission Matrix (EEM)• Carbon Dating• Astronomy and astrophysics• Optics and Scattering Approximations• Energy Modeling• Positron Emission Tomography• Water and Soil Chemistry• Titration Curves• Electrochemistry

    https://cran.r-project.org/web/views/ChemPhys.html

    • Linear Regression Models• Nonlinear Regression Models• Curve Resolution• Partial Least Squares• Principal Component Analysis• Factor Analysis• Compositional Data Analysis• Independent Component Analysis• Variable Selection• Self-Organizing Maps• Differential Equations• Metrology• Calibration• Cellular Automata

  • Clinical Trial Design, Monitoring, and Analysis

    https://cran.r-project.org/web/views/ClinicalTrials.html

    • Design and Monitoring• Design and Analysis• Analysis for Specific Designs• Analysis in General• Meta-Analysis

  • Cluster Analysis & Finite Mixture Models

    https://cran.r-project.org/web/views/Cluster.html

    • Hierarchical Clustering• Partitioning Clustering• Model-Based Clustering• Other Cluster Algorithms

  • Databases with R

    https://cran.r-project.org/web/views/Databases.html

    • Relational Databases• Non-Relational Databases• Databases Tools

  • Differential Equations

    https://cran.r-project.org/web/views/DifferentialEquations.html

    • Stochastic Differential Equations (SDEs)• Ordinary Differential Equations (ODEs)• Delay Differential Equations (DDEs)• Partial Differential Equations (PDEs)• Differential Algebraic Equations (DAEs)• Boundary Value Problems (BVPs)• Other

  • Probability Distributions

    https://cran.r-project.org/web/views/Distributions.html

    • Base Functionality• Discrete Univariate Distributions• Discrete Multivariate Distributions• Continuous Univariate Distributions• Mixed-Type Distributions• Mixture of Probability Laws• Compound, Composite, Discretized, Exponentiated and Transformation of

    Distributions• Moments, Skewness, Kurtosis and etc• Random Matrices• Copulas• Random Number Generators (RNG)• Miscellaneous

  • Econometrics

    https://cran.r-project.org/web/views/Econometrics.html

    • Basic linear regression• Microeconometrics• Instrumental variables• Panel data models• Further regression models• Time series data and models• Data sets• Miscellaneous

  • Analysis of Ecological and Environmental Data

    https://cran.r-project.org/web/views/Environmetrics.html

    • General Packages• Modelling Species Responses and

    Other Data• Tree-Based Models• Ordination• Dissimilarity Coefficients• Cluster Analysis• Ecological theory• Population Dynamics

    • Environmental time series• Spatial data analysis• Soil science• Hydrology and Oceanography• Climatology• Palaeoecology and stratigraphic data• Other packages

  • Design of Experiments (DoE) & Analysis of Experimental Data

    https://cran.r-project.org/web/views/ExperimentalDesign.html

    • Experimental designs for agricultural and plant breeding experiments

    • Experimental designs for general purposes• Experimental designs for industrial experiments• Experimental designs for computer experiments• Experimental designs for clinical trials• Experimental designs for special purposes

  • Extreme Value Analysis

    https://cran.r-project.org/web/views/ExtremeValue.html

    • Univariate Extreme Value Theory• Block Maxima approach• Peak-Over-Threshold by GPD approach:• Extremal index estimation approach• Regression models

    • Bivariate Extreme Value Theory• Block Maxima approach• Peak-Over-Threshold by GPD approach• Tail dependence coefficient approach

    • Multivariate Extreme Value Theory• Block Maxima approach• Peak-Over-Threshold by GPD approach• Copula approach

  • Empirical Finance

    https://cran.r-project.org/web/views/Finance.html

    • Standard regression models• Time series• Finance• Risk management• Books• Data and date management

  • Functional Data Analysis

    https://cran.r-project.org/web/views/FunctionalData.html

    • General functional data analysis• Regression and classification for functional data• Clustering functional data• Registering and aligning functional data• Time series of functional data• Other

  • Statistical Genetics

    https://cran.r-project.org/web/views/Genetics.html

    • Population Genetics• Phylogenetics• Linkage• QTL mapping• Association• Linkage Disequilibrium and haplotype mapping• Genome-Wide Association Studies (GWAS)• Multiple testing• Importing Sequence Data

  • Graphic Displays & Dynamic Graphics & Graphic Devices & Visualization

    https://cran.r-project.org/web/views/Graphics.html

    • Plotting• Graphic Applications• Graphics Systems• Devices• Colors• Interactive Graphics• Development

  • High-Performance and Parallel Computing with R

    https://cran.r-project.org/web/views/HighPerformanceComputing.html

    • Parallel computing: Explicit parallelism• Parallel computing: Implicit parallelism• Parallel computing: Grid computing• Parallel computing: Random numbers• Parallel computing: Resource managers and batch

    schedulers• Parallel computing: Applications• Parallel computing: GPUs• Large memory and out-of-memory data• Easier interfaces for Compiled code• Profiling tools

  • Hydrological Data and Modeling

    https://cran.r-project.org/web/views/Hydrology.html

    • Hydrological data sources (surface water/groundwater quantity and quality)

    • Meteorological data (precipitation, radiation, temperature, etc - including both measurements and reanalysis)

    • Data tidying (gap-filling, data organization, QA/QC, etc)• Hydrograph analysis (functions for working with streamflow

    data, e.g. flow statistics, trends, biological indices, etc.)• Meteorology (functions for working with meteorological and

    climate data)• Spatial data processing• Process-based modeling (scripts for preparing inputs/outputs

    and running process-based models)• Statistical modeling (hydrology-related statistical models)

  • Machine Learning & Statistical Learning

    https://cran.r-project.org/web/views/MachineLearning.html

    • Neural Networks and Deep Learning• Recursive Partitioning• Random Forests• Regularized and Shrinkage Methods• Boosting and Gradient Descent• Support Vector Machines and Kernel

    Methods• Bayesian Methods• Optimization using Genetic Algorithms

    • Association Rules• Fuzzy Rule-based Systems• Model selection and validation• Other procedures• Meta packages• Elements of Statistical Learning• Visualisation (initially contributed by

    Brandon Greenwell)

  • Medical Image Analysis

    https://cran.r-project.org/web/views/MedicalImaging.html

    • Data Input/Output• DICOM• ANALYZE and NIfTI

    • Magnetic Resonance Imaging (MRI)• Diffusion Tensor Imaging (DTI)• Dynamic Contrast-Enhanced MRI (DCE-MRI)• Functional Connectivity• Functional MRI• Structural MRI• Visualization• Simulation

    • General Image Processing• Positron Emission Tomography

    (PET)• Electroencephalography (EEG)

  • Meta-Analysis

    https://cran.r-project.org/web/views/MetaAnalysis.html

    • Preparing for meta-analysis• Fitting the model• Graphical methods• Investigating heterogeneity• Model criticism• Investigating small study bias• Unobserved studies• Other study designs• Meta-analysis of significance values

    • Meta-analysis of studies of diagnostic tests• Meta-regression• Individual participant data (IPD)• Network meta-analysis• Genetics• Interfaces• Simulation• Others

  • Missing Data

    https://cran.r-project.org/web/views/MissingData.html

    • Exploration of missing data• Likelihood based approaches• Single imputation• Multiple imputation• Weighting methods• Specific types of data• Specific application fields

  • Model Deployment with R

    https://cran.r-project.org/web/views/ModelDeployment.html

    • Deployment through Different Types of Artifacts• Deployment through Cloud/Server

  • Multivariate Task View

    • Multivariate Graphics• Hypothesis Testing• Multivariate Distributions• Linear Models• Projection Methods

    • Principal Components• Canonical Correlation• Redundancy Analysis• Independent Components• Procrustes Analysis

    https://cran.r-project.org/web/views/Multivariate.html

    • Principal coordinates / Scaling Methods

    • Unsupervised Classification• Cluster Analysis• Tree Methods

    • Supervised Classification & Discriminant Analysis

    • Correspondence Analysis• Missing Data• Latent Variable Approaches• Modelling non-Gaussian Data• Matrix Manipulations

  • Natural Language Processing

    https://cran.r-project.org/web/views/NaturalLanguageProcessing.html

    • Frameworks• Words (lexical DBs, keyword extraction, string manipulation, stemming)• Semantics• Pragmatics• Evaluation• Corpora

  • Numerical Mathematics

    https://cran.r-project.org/web/views/NumericalMathematics.html

    • Numerical Linear Algebra• Special Functions• Polynomials• Differentiation and Integration• Interpolation and Approximation• Root Finding and Fixed Points• Discrete Mathematics and Number Theory• Multi-Precision Arithmetic and Symbolic Mathematics• Python Interfaces• MATLAB, Octave, Julia, and other Interfaces

  • Official Statistics & Survey Methodology

    • Complex Survey Design: Sampling and Sample Size Calculation• Complex Survey Design: Point and Variance Estimation and Model Fitting• Complex Survey Design: Calibration• Editing and Visual Inspection of Microdata• Imputation• Statistical Disclosure Control• Seasonal Adjustment and Forecasting• Statistical Matching and Record Linkage• Small Area Estimation• Indices, Indicators, Tables and Visualisation of Indicators• Microsimulation• Additional Packages and Functionalities

    https://cran.r-project.org/web/views/OfficialStatistics.html

  • Optimization and Mathematical Programming• Optimization Infrastructure Packages• General Purpose Continuous Solvers• Quadratic Optimization• Optimization Test Functions• Least-Squares Problems• Semidefinite and Convex Solvers• Global and Stochastic Optimization• Mathematical Programming Solvers• Interfaces to Open Source Optimizers• Interfaces to Commercial Optimizers• Combinatorial Optimization• Specific Applications in Optimization• Classification According to Subject

    https://cran.r-project.org/web/views/Optimization.html

  • Analysis of Pharmacokinetic Data

    https://cran.r-project.org/web/views/Pharmacokinetics.html

  • Phylogenetics, Especially Comparative Methods

    • Getting trees into R• Utility functions• Ancestral state reconstruction• Diversification Analysis• Divergence Times• Phylogenetic Inference• Time series/Paleontology• Tree Simulations• Trait evolution• Trait Simulations• Tree Manipulation

    https://cran.r-project.org/web/views/Phylogenetics.html

    • Community/Microbial Ecology• Phyloclimatic Modeling• Phylogeography / Biogeography• Species/Population Delimitation• Tree Plotting and Visualization• Tree Comparison• Taxonomy• Gene tree - species tree• Interactions with other programs

  • Psychometric View

    • Item Response Theory (IRT)• Correspondence Analysis (CA)• Structural Equation Models, Factor Analysis, PCA• Multidimensional Scaling (MDS)• Classical Test Theory (CTT)• Knowledge Structure Analysis• Latent Class Analysis (LCA)• Paired Comparisons (e.g. Bradley Terry Models)• Bayesian Psychometrics• Other Related Packages

    https://cran.r-project.org/web/views/Psychometrics.html

  • Reproducible Research

    • LaTeX• HTML• Markdown• OpenDocument Format (ODF)• Microsoft Formats• Package Reproducibility• Formatting Tools• Format Convertors• Object Caching Packages

    https://cran.r-project.org/web/views/ReproducibleResearch.html

  • Robust Statistical Methods

    • Regression (Linear, Generalized Linear, Nonlinear Models, incl. Mixed Effects)• Multivariate Analysis• Clustering (Multivariate)• Object Caching Packages• Large Data Sets• Descriptive Statistics / Exploratory Data Analysis• Time Series• Econometric Models• Robust Methods for Bioinformatics :• Robust Methods for Survival Analysis :• Geostatistics Collections of several methodologies

    https://cran.r-project.org/web/views/Robust.html

  • Social Sciences Task View1. Linear and Generalized Linear Models

    • ANOVA• Linear Hypothesis Function (package car)• Multiple Comparison (package multcomp)• Generalized Linear Model Diagnostics • Forward Search (package forward)

    2. Analysis of Categorical and Count Data• Binomial Logit, Probit• Multinomial Logit• Multinomial Probit• Poisson Regression• Zero-Inflated Regression

    3. Other Regression Models– Nonlinear regression– Mixed-effects – Generalized Estimating Equations– Non-parametric Regression– Quantile Regression– Regression splines

    4. Other Statistical Methods– Missing Data– Bootstrapping and other resampling methods– Model Selection– Social Network Analysis– Propensity Score and Matching– Demographic Methods

    https://cran.r-project.org/web/views/SocialSciences.html

  • Analysis of Spatial Data• Classes for spatial data and metadata

    • Spatial data – general• Raster data• Geographic metadata

    • Reading and writing spatial data• Reading and writing spatial data - data

    formats• Reading and writing spatial data - GIS

    Software connectors• Interfaces to Spatial Web-Services• Specific geospatial data sources of

    interest• Handling spatial data

    • Data processing – general• Data processing - raster and imagery

    data• Data cleaning

    https://cran.r-project.org/web/views/Spatial.html

    • Visualizing spatial data• Base visualization packages• Thematic cartography packages• Packages based on web-mapping frameworks• Building Cartograms

    • Analyzing spatial data• Point pattern analysis• Geostatistics• Disease mapping and areal data analysis• Spatial regression• Ecological analysis

  • Handling and Analyzing Spatio-Temporal Data

    • Representing data• Analyzing data• Visualization• Data sets• Retrieving data

    https://cran.r-project.org/web/views/SpatioTemporal.html

  • Survival Analysis

    • Standard Survival Analysis• Multistate Models• Relative Survival• Random Effect Models• Multivariate Survival• Bayesian Models• High-Dimensional Data• Predictions and Prediction Performance• Power Analysis• Simulation• Graphics• Miscellaneous

    https://cran.r-project.org/web/views/Survival.html

  • Teaching Statistics• Teaching• Examination• Packages associated with Statistics books

    https://cran.r-project.org/web/views/TeachingStatistics.html

  • Time Series Analysis

    • Basics• Times and Dates• Time Series Classes• Forecasting and Univariate Modeling• Forecasting and Univariate Modeling• Frequency analysis• Decomposition and Filtering• Seasonality• Stationarity, Unit Roots, and

    Cointegration• Nonlinear Time Series Analysis

    https://cran.r-project.org/web/views/TimeSeries.html

    • Entropy• Dynamic Regression Models• Multivariate Time Series Models• Analysis of large groups of time

    series• Functional time series• Continuous time models• Resampling• Time Series Data• Miscellaneous

  • Web Technologies and Services

    • Tools for Working with the Web from R

    • Core Tools For HTTP Requests• Handling HTTP Errors/Codes• Parsing Structured Web Data• Tools for Working with URLs• Tools for Working with Scraped

    Webpage Contents• Security• Other Useful Packages and

    Functions

    https://cran.r-project.org/web/views/WebTechnologies.html

    • Web and Server Framework

    • Web Services• Cloud Computing and Storage• Document and Code Sharing• Data Analysis and Processing

    Services• Social Media Clients• Web Analytics Services• Web Services for R Package

    Development• Other Web Services

  • gRaphical Models in R

    • Representation, manipulation and display of graphs• Classical models - General purpose packages• Miscellaneous: Model search, structure learning, specialized types of

    models etc.• Bayesian Networks/Probabilistic expert systems• BUGS models

    https://cran.r-project.org/web/views/gR.html

    Task Views40 R Task Views (as at 6 May 2019)40 R Task Views (as at 6 May 2019)CRAN Task ViewsSlide Number 5Bayesian Inference Task ViewChemometrics and Computational PhysicsClinical Trial Design, Monitoring, and AnalysisCluster Analysis & Finite Mixture ModelsDatabases with RDifferential EquationsProbability DistributionsEconometricsAnalysis of Ecological and Environmental DataDesign of Experiments (DoE) & Analysis of Experimental DataExtreme Value AnalysisEmpirical FinanceFunctional Data AnalysisStatistical GeneticsGraphic Displays & Dynamic Graphics & Graphic Devices & VisualizationHigh-Performance and Parallel Computing with RHydrological Data and ModelingMachine Learning & Statistical LearningMedical Image AnalysisMeta-AnalysisMissing DataModel Deployment with RMultivariate Task ViewNatural Language ProcessingNumerical MathematicsOfficial Statistics & Survey MethodologyOptimization and Mathematical ProgrammingAnalysis of Pharmacokinetic DataPhylogenetics, Especially Comparative MethodsPsychometric ViewReproducible ResearchRobust Statistical MethodsSocial Sciences Task ViewAnalysis of Spatial DataHandling and Analyzing Spatio-Temporal DataSurvival AnalysisTeaching StatisticsTime Series AnalysisWeb Technologies and ServicesgRaphical Models in R