mxfda: A Functional Data Analysis Package for Spatial Single Cell Data

Methods and tools for deriving spatial summary functions from single-cell imaging data and performing functional data analyses. Functions can be applied to other single-cell technologies such as spatial transcriptomics. Functional regression and functional principal component analysis methods are in the 'refund' package <https://cran.r-project.org/package=refund> while calculation of the spatial summary functions are from the 'spatstat' package <https://spatstat.org/>.

Version:	0.2.2
Depends:	R (≥ 2.10)
Imports:	magrittr, rlang, tidyr, purrr, dplyr, ggplot2, lifecycle, methods, stats, refund (≥ 0.1-35), reshape2, mgcv, spatstat.geom, spatstat.explore, SpatEntropy, SimDesign
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), tidyverse, survival, ggpubr, spatialTIME, tibble, broom, refund.shiny, Seurat, SeuratObject
Published:	2024-10-07
DOI:	10.32614/CRAN.package.mxfda
Author:	Julia Wrobel [aut], Alex Soupir [aut, cre]
Maintainer:	Alex Soupir <alex.soupir at moffitt.org>
BugReports:	https://github.com/julia-wrobel/mxfda/issues/
License:	MIT + file LICENSE
URL:	https://github.com/julia-wrobel/mxfda/, http://juliawrobel.com/mxfda/
NeedsCompilation:	no
Materials:	README
CRAN checks:	mxfda results

Documentation:

Reference manual:	mxfda.pdf
Vignettes:	Defining an mxFDA object (source, R code) Functional principal component analysis for spatial summary functions (source, R code) Functional regression with spatial summary functions as covariates (source, R code)

Downloads:

Package source:	mxfda_0.2.2.tar.gz
Windows binaries:	r-devel: mxfda_0.2.2.zip, r-release: mxfda_0.2.2.zip, r-oldrel: mxfda_0.2.2.zip
macOS binaries:	r-release (arm64): mxfda_0.2.2.tgz, r-oldrel (arm64): mxfda_0.2.2.tgz, r-release (x86_64): mxfda_0.2.2.tgz, r-oldrel (x86_64): mxfda_0.2.2.tgz
Old sources:	mxfda archive

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