Computes the optimal number of regions (or subdivisions) and
their position in serial structures without a priori assumptions and to visualize
the results. After reducing data dimensionality with the built-in function for
data ordination, regions are fitted as segmented linear regressions
along the serial structure. Every region boundary
position and increasing number of regions are iteratively fitted and
the best model (number of regions and boundary positions) is selected
with an information criterion. This package expands on the previous
'regions' package (Jones et al., Science 2018) with improved
computation and more fitting and plotting options.
Version: |
0.1.0 |
Depends: |
R (≥ 4.0.0) |
Imports: |
stats, parallel, utils, grDevices, RColorBrewer (≥ 1.1-3), cluster (≥ 2.1.4), scales (≥ 1.3.0), ggplot2 (≥ 3.5.1), chk (≥ 0.9.0), pbapply (≥ 1.7-2) |
Suggests: |
viridisLite, patchwork (≥ 1.1.0), knitr, rmarkdown |
Published: |
2024-08-21 |
DOI: |
10.32614/CRAN.package.MorphoRegions |
Author: |
Amandine Gillet
[cre, aut],
Katrina Jones
[aut],
Noah Greifer
[aut],
Stephanie Pierce
[aut] |
Maintainer: |
Amandine Gillet <gillet.aman at gmail.com> |
BugReports: |
https://github.com/aagillet/MorphoRegions/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://aagillet.github.io/MorphoRegions/,
https://github.com/aagillet/MorphoRegions |
NeedsCompilation: |
no |
Citation: |
MorphoRegions citation info |
Materials: |
README |
CRAN checks: |
MorphoRegions results |