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CRAN Task Views

CRAN task views aim to provide guidance which packages on CRANare relevant for tasks related to a certain topic. They give a brief overview of the included packageswhich can also be automatically installed using thectvpackage. The views are intended to have a sharp focus so that it is sufficientlyclear which packages should be included (or excluded) - and they arenot meantto endorse the "best" packages for a given task.

To automatically install the views, thectv package needs to be installed, e.g., via
install.packages("ctv")
and then the views can be installed viainstall.views orupdate.views(where the latter only installs those packages are not installed and up-to-date), e.g.,
ctv::install.views("Econometrics")
ctv::update.views("Econometrics")
To query information about a particular task view on CRAN from within R or to obtain the list of all task views available, respectively,the following commands are provided:
ctv::ctv("Econometrics")
ctv::available.views()

The resources available from theCRAN Task View Initiativeprovide further information on how to contribute to existing task views and how to propose new task views.

Topics

ActuarialScienceActuarial Science
AgricultureAgricultural Science
AnomalyDetectionAnomaly Detection
BayesianBayesian Inference
CausalInferenceCausal Inference
ChemPhysChemometrics and Computational Physics
ClinicalTrialsClinical Trial Design, Monitoring, and Analysis
ClusterCluster Analysis & Finite Mixture Models
CompositionalDataCompositional Data Analysis
DatabasesDatabases with R
DifferentialEquationsDifferential Equations
DistributionsProbability Distributions
DynamicVisualizationsDynamic Visualizations and Interactive Graphics
EconometricsEconometrics
EnvironmetricsAnalysis of Ecological and Environmental Data
EpidemiologyEpidemiology
ExperimentalDesignDesign of Experiments (DoE) & Analysis of Experimental Data
ExtremeValueExtreme Value Analysis
FinanceEmpirical Finance
FunctionalDataFunctional Data Analysis
GraphicalModelsGraphical Models
HighPerformanceComputingHigh-Performance and Parallel Computing with R
HydrologyHydrological Data and Modeling
MachineLearningMachine Learning & Statistical Learning
MedicalImagingMedical Image Analysis
MetaAnalysisMeta-Analysis
MissingDataMissing Data
MixedModelsMixed, Multilevel, and Hierarchical Models in R
ModelDeploymentModel Deployment with R
NaturalLanguageProcessingNatural Language Processing
NetworkAnalysisNetwork Analysis
NumericalMathematicsNumerical Mathematics
OfficialStatisticsOfficial Statistics & Survey Statistics
OmicsGenomics, Proteomics, Metabolomics, Transcriptomics, and Other Omics
OptimizationOptimization and Mathematical Programming
PaleontologyPaleontology
PharmacokineticsAnalysis of Pharmacokinetic Data
PhylogeneticsPhylogenetics
PsychometricsPsychometric Models and Methods
ReproducibleResearchReproducible Research
RobustRobust Statistical Methods
SpatialAnalysis of Spatial Data
SpatioTemporalHandling and Analyzing Spatio-Temporal Data
SportsAnalyticsSports Analytics
SurvivalSurvival Analysis
TeachingStatisticsTeaching Statistics
TimeSeriesTime Series Analysis
TrackingProcessing and Analysis of Tracking Data
WebTechnologiesWeb Technologies and Services

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