spatialTIME: Spatial Analysis of Vectra Immunoflourescent Data

Functions for visualizing and analyzing Vectra Immunofluorescent data. Options for calculating both the univariate and bivariate Ripley's K are included. Calculations are performed using a permutation-based approach. The permutation framework was proposed in Wilson et. al (2021) <doi:10.1101/2021.04.27.21256104>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: magrittr, dplyr, tidyr, ggplot2, scales, stringr, ggdark, viridisLite, crayon, grDevices, Surrogate, purrr, janitor, rlang, modelr, plyr, tibble, spatstat.geom, spatstat.core, RColorBrewer, stats
Suggests: knitr, rmarkdown, testthat
Published: 2021-05-14
Author: Jordan Creed [aut], Ram Thapa [aut], Christopher Wilson [aut], Brooke Fridley [cph], Fridley Lab [cre]
Maintainer: Fridley Lab <fridley.lab at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: spatialTIME results


Reference manual: spatialTIME.pdf
Vignettes: Introduction to spatialTIME
Package source: spatialTIME_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): spatialTIME_1.0.0.tgz, r-release (x86_64): spatialTIME_1.0.0.tgz, r-oldrel: spatialTIME_1.0.0.tgz


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