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
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:

Reference manual:	funkycells.html , funkycells.pdf
Vignettes:	TNBC (source, R code) funkycells (source, R code) lungcancer (source, R code) model_power_curves (source, R code) model_walkthrough (source, R code)

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, r-oldrel (x86_64): funkycells_1.1.1.tgz

Reverse dependencies:

Reverse suggests:

smoppix

Linking:

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