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 <> while calculation of the spatial summary functions are from the 'spatstat' package <>.

Version: 0.2.1
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
Published: 2024-05-08
DOI: 10.32614/CRAN.package.mxfda
Author: Julia Wrobel ORCID iD [aut], Alex Soupir ORCID iD [aut, cre]
Maintainer: Alex Soupir <alex.soupir at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mxfda results


Reference manual: mxfda.pdf
Vignettes: Defining an mxFDA object
Functional principal component analysis for spatial summary functions
Functional regression with spatial summary functions as covariates


Package source: mxfda_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mxfda_0.2.1.tgz, r-oldrel (arm64): mxfda_0.2.1.tgz, r-release (x86_64): mxfda_0.2.1.tgz, r-oldrel (x86_64): mxfda_0.2.1.tgz


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