Compare variables of interest between (potentially large numbers of) spatial interactions and meta-variables. Spatial variables are summarized using K, or other, functions, and projected for use in a modified random forest model. The model allows comparison of functional and non-functional variables to each other and to noise, giving statistical significance to the results. Included are preparation, modeling, and interpreting tools along with example datasets, as described in VanderDoes et al., (2023) <doi:10.1101/2023.07.18.549619>.
Version: 1.1.1 Depends: R (≥ 2.10) Imports: fda, ggplot2, rpart, spatstat.explore, spatstat.geom, stats, stringr, tidyr Suggests: knitr, pROC, rmarkdown, scales, testthat (≥ 3.0.0) Published: 2023-08-09 DOI: 10.32614/CRAN.package.funkycells Author: Jeremy VanderDoes [aut, cre, cph], Jack Hywood [aut], Gregory Rice [aut] Maintainer: Jeremy VanderDoes <jeremy.vanderdoes at gmail.com> BugReports: https://github.com/jrvanderdoes/funkycells/issues License: GPL (≥ 3) URL: https://github.com/jrvanderdoes/funkycells, https://jrvanderdoes.github.io/funkycells/ NeedsCompilation: no Citation: funkycells citation info Materials: README, NEWS CRAN checks: funkycells results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=funkycells to link to this page.
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