CAST: 'caret' Applications for Spatial-Temporal Models

Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. This package includes functions to improve spatial-temporal modelling tasks using 'caret'. It prepares data for Leave-Location-Out and Leave-Time-Out cross-validation which are target-oriented validation strategies for spatial-temporal models. To decrease overfitting and improve model performances, the package implements a forward feature selection that selects suitable predictor variables in view to their contribution to the target-oriented performance.

Package details

AuthorHanna Meyer [cre, aut], Chris Reudenbach [ctb], Marvin Ludwig [ctb], Thomas Nauss [ctb]
MaintainerHanna Meyer <[email protected]>
LicenseGPL (>= 3) | file LICENSE
Version0.3.1
URL https://github.com/environmentalinformatics-marburg/CAST
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CAST")

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CAST documentation built on Nov. 19, 2018, 5:05 p.m.