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 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mxfda to link to this page.
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