kmayerb/spcv: a minimalist package for anticipating prediction errors in spatial interpolation through cross validation

spcv considers potential errors arising from the non-parametric inverse distance weighting method of interpolation. The package is for personal consumption, aimed at furthering my understanding of the environmental datasets I work with. More efficient implimentations of cross validation than can be found elsewhere, including in gstat.

Getting started

Package details

Maintainer
LicenseMIT
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("kmayerb/spcv")
kmayerb/spcv documentation built on May 26, 2019, 2:34 a.m.