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bifrost  

Branch-Level Inference Framework for Recognizing Optimal Shifts in Traits
View on CRAN: Click here


Download and install bifrost package within the R console
Install from CRAN:
install.packages("bifrost")

Install from Github:
library("remotes")
install_github("cran/bifrost")

Install by package version:
library("remotes")
install_version("bifrost", "0.1.4")



Attach the package and use:
library("bifrost")
Maintained by
Jacob S. Berv
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-21
Latest Update: 2026-01-21
Description:
Methods for detecting and visualizing cladogenic shifts in multivariate trait data on phylogenies. Implements penalized-likelihood multivariate generalized least squares models, enabling analyses of high-dimensional trait datasets and large trees via searchOptimalConfiguration(). Includes a greedy step-wise shift-search algorithm following approaches developed in Smith et al. (2023) <doi:10.1111/nph.19099> and Berv et al. (2024) <doi:10.1126/sciadv.adp0114>. Methods build on multivariate GLS approaches described in Clavel et al. (2019) <doi:10.1093/sysbio/syy045> and implemented in the mvgls() function from the 'mvMORPH' package. Documentation and vignettes are available at <https://jakeberv.com/bifrost/>, including the introductory vignette at <https://jakeberv.com/bifrost/articles/jaw-shape-vignette.html>.
How to cite:
Jacob S. Berv (2026). bifrost: Branch-Level Inference Framework for Recognizing Optimal Shifts in Traits. R package version 0.1.4, https://cran.r-project.org/web/packages/bifrost. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-10-17 09:10), 0.1.3 (2026-01-21 20:10), 0.1.4 (2026-04-17 06:00), 0.2.0 (2026-09-28 05:00)
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Complete documentation for bifrost
Functions, R codes and Examples using the bifrost R package
Full bifrost package functions and examples
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