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. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models by analysing the similarity between new data and training data.

Package details

AuthorHanna Meyer [cre, aut], Chris Reudenbach [ctb], Marvin Ludwig [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb]
MaintainerHanna Meyer <hanna.meyer@uni-muenster.de>
LicenseGPL (>= 2)
Version0.5.1
URL https://github.com/HannaMeyer/CAST
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CAST")

Try the CAST package in your browser

Any scripts or data that you put into this service are public.

CAST documentation built on April 7, 2021, 5:09 p.m.