CAST: 'caret' Applications for Spatial-Temporal Models
Version 0.2.1

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]
Date of publication2018-07-12 11:20:03 UTC
MaintainerHanna Meyer <[email protected]>
LicenseGPL (>= 3) | file LICENSE
Package repositoryView on CRAN
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CAST documentation built on July 13, 2018, 1:04 a.m.