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.
Package details |
|
---|---|
Author | Amandine Gillet [cre, aut] (<https://orcid.org/0000-0001-9763-6061>), Katrina Jones [aut] (<https://orcid.org/0000-0003-1088-0497>), Noah Greifer [aut] (<https://orcid.org/0000-0003-3067-7154>), Stephanie Pierce [aut] (<https://orcid.org/0000-0003-0717-1841>) |
Maintainer | Amandine Gillet <gillet.aman@gmail.com> |
License | GPL (>= 2) |
Version | 0.1.0 |
URL | https://aagillet.github.io/MorphoRegions/ https://github.com/aagillet/MorphoRegions |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.