CRAN task views aim to provide guidance which packages on CRAN
are relevant for tasks related to a certain topic. They give a brief overview of the included packages
which can also be automatically installed using the ctv
package. The views are intended to have a sharp focus so that it is sufficiently
clear which packages should be included (or excluded) - and they are *not* meant
to endorse the "best" packages for a given task.

To automatically install the views, the ctv package needs to be installed, e.g., via

`install.packages("ctv")`

and then the views can be installed via `install.views`

or `update.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 the CRAN Task View Initiative provide further information on how to contribute to existing task views and how to propose new task views.

ActuarialScience | Actuarial Science |

Agriculture | Agricultural Science |

Bayesian | Bayesian Inference |

CausalInference | Causal Inference |

ChemPhys | Chemometrics and Computational Physics |

ClinicalTrials | Clinical Trial Design, Monitoring, and Analysis |

Cluster | Cluster Analysis & Finite Mixture Models |

Databases | Databases with R |

DifferentialEquations | Differential Equations |

Distributions | Probability Distributions |

Econometrics | Econometrics |

Environmetrics | Analysis of Ecological and Environmental Data |

Epidemiology | Epidemiology |

ExperimentalDesign | Design of Experiments (DoE) & Analysis of Experimental Data |

ExtremeValue | Extreme Value Analysis |

Finance | Empirical Finance |

FunctionalData | Functional Data Analysis |

GraphicalModels | Graphical Models |

HighPerformanceComputing | High-Performance and Parallel Computing with R |

Hydrology | Hydrological Data and Modeling |

MachineLearning | Machine Learning & Statistical Learning |

MedicalImaging | Medical Image Analysis |

MetaAnalysis | Meta-Analysis |

MissingData | Missing Data |

MixedModels | Mixed, Multilevel, and Hierarchical Models in R |

ModelDeployment | Model Deployment with R |

NaturalLanguageProcessing | Natural Language Processing |

NumericalMathematics | Numerical Mathematics |

OfficialStatistics | Official Statistics & Survey Statistics |

Omics | Genomics, Proteomics, Metabolomics, Transcriptomics, and Other Omics |

Optimization | Optimization and Mathematical Programming |

Pharmacokinetics | Analysis of Pharmacokinetic Data |

Phylogenetics | Phylogenetics |

Psychometrics | Psychometric Models and Methods |

ReproducibleResearch | Reproducible Research |

Robust | Robust Statistical Methods |

Spatial | Analysis of Spatial Data |

SpatioTemporal | Handling and Analyzing Spatio-Temporal Data |

SportsAnalytics | Sports Analytics |

Survival | Survival Analysis |

TeachingStatistics | Teaching Statistics |

TimeSeries | Time Series Analysis |

Tracking | Processing and Analysis of Tracking Data |

WebTechnologies | Web Technologies and Services |