Package: mxfda 0.2.1-1

Alex Soupir

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/>.

Authors:Julia Wrobel [aut], Alex Soupir [aut, cre]

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NEWS

# Install 'mxfda' in R:
install.packages('mxfda', repos = c('https://julia-wrobel.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/julia-wrobel/mxfda/issues

Datasets:
  • lung_FDA - Multiplex imaging data from a non-small cell lung cancer study
  • lung_df - Multiplex imaging data from a non-small cell lung cancer study.
  • ovarian_FDA - Multiplex imaging data from an ovarian cancer tumor microarray

On CRAN:

33 exports 1 stars 1.96 score 122 dependencies 4 scripts 187 downloads

Last updated 1 months agofrom:34a94163b8. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winNOTESep 12 2024
R-4.5-linuxNOTESep 12 2024
R-4.4-winNOTESep 12 2024
R-4.4-macNOTESep 12 2024
R-4.3-winNOTESep 12 2024
R-4.3-macNOTESep 12 2024

Exports:%>%add_summary_functionbivariateentropyextract_cextract_fpca_objectextract_fpca_scoresextract_modelextract_spatial_summaryextract_summary_functionsextract_surfacefilter_datafilter_spatialGcrossGestget_datais.emptyKcrossKestLcrossLestmake_mxfdametric.existsone_zeroplot_fpcplot_mfpcrun_fcmrun_fpcarun_mfcmrun_mfpcarun_sofrspatialTIME_summary_functionsunivariate

Dependencies:abindashaudiobeeprbitopsbootbriocallrcliclustercodetoolscolorspacecpp11crayoncurldeldirdescdeSolvediffobjdigestdplyrevaluatefansifarverfdafdsFNNfsfuturefuture.applygamm4genericsggplot2globalsgluegoftestgrpreggtablehdrcdeisobandjsonlitekernlabKernSmoothkslabelinglatticelifecyclelistenvlme4locfitmagicmagrittrMASSMatrixmclustmgcvminqamulticoolmunsellmvtnormnlmenloptrparallellypbapplypbspcaPPpillarpkgbuildpkgconfigpkgloadplyrpolyclippracmapraiseprocessxprogressrpspurrrR.methodsS3R.ooR.utilsR6rainbowRColorBrewerRcppRcppEigenRCurlrefundrematch2reshape2rlangRLRsimrpartrprojrootRPushbulletscalessessioninfoSimDesignsnowSpatEntropyspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrtensortestthattibbletidyrtidyselectutf8vctrsviridisLitewaldowithr

Defining an mxFDA object

Rendered frommx_fda.Rmdusingknitr::rmarkdownon Sep 12 2024.

Last update: 2024-04-01
Started: 2023-05-16

Functional principal component analysis for spatial summary functions

Rendered frommx_fpca.Rmdusingknitr::rmarkdownon Sep 12 2024.

Last update: 2024-04-01
Started: 2023-11-16

Functional regression with spatial summary functions as covariates

Rendered frommx_funreg.Rmdusingknitr::rmarkdownon Sep 12 2024.

Last update: 2024-04-01
Started: 2023-05-16