environmentalinformatics-marburg/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.

Getting started

Package details

AuthorHanna Meyer [cre, aut], Chris Reudenbach [ctb], Marvin Ludwig [ctb], Thomas Nauss [ctb]
MaintainerHanna Meyer <[email protected]>
LicenseGPL (>= 3) | file LICENSE
Version0.2.1
URL https://github.com/environmentalinformatics-marburg/CAST
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("environmentalinformatics-marburg/CAST")
environmentalinformatics-marburg/CAST documentation built on Sept. 5, 2018, 9:41 p.m.