mxfda: A Functional Data Analysis Package for Spatial Single Cell Data (original) (raw)
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 |
| Maintainer: | Alex Soupir <alex.soupir at moffitt.org> |
| BugReports: | https://github.com/julia-wrobel/mxfda/issues/ |
| License: | MIT + file |
| URL: | https://github.com/julia-wrobel/mxfda/,http://juliawrobel.com/mxfda/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | mxfda results |
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