funkycells: Functional Data Analysis for Multiplexed Cell Images

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
Author: Jeremy VanderDoes ORCID iD [aut, cre, cph], Jack Hywood ORCID iD [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:

Reference manual: funkycells.pdf
Vignettes: TNBC
funkycells
lungcancer
model_power_curves
model_walkthrough

Downloads:

Package source: funkycells_1.1.1.tar.gz
Windows binaries: r-devel: funkycells_1.1.1.zip, r-release: funkycells_1.1.1.zip, r-oldrel: funkycells_1.1.1.zip
macOS binaries: r-release (arm64): funkycells_1.1.1.tgz, r-oldrel (arm64): funkycells_1.1.1.tgz, r-release (x86_64): funkycells_1.1.1.tgz

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