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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:0.2.2-1
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:2025-02-19
DOI:10.32614/CRAN.package.mxfda
Author:Julia WrobelORCID iD [aut], Alex SoupirORCID iD [aut, cre]
Maintainer:Alex Soupir <alex.soupir at moffitt.org>
BugReports:https://github.com/julia-wrobel/mxfda/issues/
License:MIT + fileLICENSE
URL:https://github.com/julia-wrobel/mxfda/,http://juliawrobel.com/mxfda/
NeedsCompilation:no
Materials:README
CRAN checks:mxfda results

Documentation:

Reference manual:mxfda.html ,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_0.2.2-1.tar.gz
Windows binaries: r-devel:mxfda_0.2.2-1.zip, r-release:mxfda_0.2.2-1.zip, r-oldrel:mxfda_0.2.2-1.zip
macOS binaries: r-release (arm64):mxfda_0.2.2-1.tgz, r-oldrel (arm64):mxfda_0.2.2-1.tgz, r-release (x86_64):mxfda_0.2.2-1.tgz, r-oldrel (x86_64):mxfda_0.2.2-1.tgz
Old sources: mxfda archive

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