Skip to content
This package was removed from CRAN on 2019-01-28. Its history is shown below.
Reason: check issues were not corrected despite reminder
Details below reflect version 0.2.1, its last release before removal.

BioGeoBEARS

0.2.1Package record

BioGeography with Bayesian (and Likelihood) Evolutionary Analysis in R Scripts

0packages dependsuggested by 1
–downloads / year
–test coverage
–flavors OK

Overview

About

BioGeoBEARS allows probabilistic inference of both historical biogeography (ancestral geographic ranges on a phylogeny) as well as comparison of different models of range evolution. It reproduces the model available in LAGRANGE (Ree and Smith 2008), as well as making available numerous additional models. For example, LAGRANGE as typically run has two free parameters, d (dispersal rate, i.e. the rate of range addition along a phylogenetic branch) and e (extinction rate, really the rate of local range loss along a phylogenetic branch). LAGRANGE also has a fixed cladogenic model which gives equal probability to a number of allowed range inheritance events, e.g.: (1) vicariance, (2) a new species starts in a subset of the ancestral range, (3) the ancestral range is copied to both species; in all cases, at least one species must have a starting range of size 1. LAGRANGE assigns equal probability to each of these events, and zero probability to other events. BioGeoBEARS adds an additional cladogenic event: founder-event speciation (the new species jumps to a range outside of the ancestral range), and also allows the relative weighting of the different sorts of events to be made into free parameters, allowing optimization and standard model choice procedures to pick the best model. The relative probability of different descendent range sizes is also parameterized and thus can also be specified or estimated. The flexibility available in BioGeoBEARS also enables the natural incorporation of (1) imperfect detection of geographic ranges in the tips, and (2) inclusion of fossil geographic range data, when the fossils are tips on the phylogeny. Bayesian analysis has been implemented through use of the "LaplacesDemon" package, however this package is now maintained off of CRAN, so its usage is not formally included in BioGeoBEARS at the current time. CITATION INFO: This package is the result of my Ph.D. research, please cite the package if you use it! Type: citation(package="BioGeoBEARS") to get the citation information.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

Documentation

In release 0.2.1
READMENoVignettesNoNEWSYes · 0% structuredCitation fileYes · computed when R runs itWebsiteYes
Help pages
248includes a package overview page
Examples that run
100%247 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
95% with a bibliography file

Downloads

BioGeoBEARS
Daily download trend is not available in this view yet.
Also on115 c2d4u

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Imports (6)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)
Suggested by 1
Suggests, most downloaded first

Code & Tests

Datasets

People & History

People (1)
Author, Maintainer since 0.1.1 (2013), Copyright holder
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 3.6.0 released · 2019-04-26
  • archivedRemoved from CRAN
    2019-01-28
    check issues were not corrected despite reminder
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 0.2.1
    record
    2013-07-27 · diff ↗ ·
    added 13 exports
    Pdata_given_rangerow, Pdata_given_rangerow_dp, calc_obs_like, calc_post_prob_presence, cornerpies, mapply_calc_obs_like, mapply_calc_post_prob_presence, post_prob_states, post_prob_states_matrix, prob_of_states_from_prior_prob_areas, read_controls, read_detections, tiplikes_wDetectionModel
  • 0.2
    record
    2013-07-25 · diff ↗ ·
    removed 9 exports
    LapDem_Model_calc_logPP, LapDem_Model_calc_logPP_orig, change_burnin, invtransform_with_logistic, make_all_tips_come_to_0, plot_demonoid2, plotlp, reparam_LapDem_output, transform_with_logistic
    added 18 exports
    BioGeoBEARS_model_object_to_est_params, average_tr_tips, check_BioGeoBEARS_run, extend_tips_to_ultrametricize, get_indices_of_branches_under_tips, get_indices_of_tip_nodes, get_indices_where_list1_occurs_in_list2_noNA, get_perEvent_probs, np, parse_lagrange_output_old, parse_lagrange_python_output_old, plot_BioGeoBEARS_model, plot_BioGeoBEARS_results, plot_cladogenesis_size_probabilities, printall, prune_specimens_to_species, prune_states_list, return_items_not_NA
  • 0.1.1
    record
    2013-06-23
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-06-23
Total releases
3 / 13 yrs
License
GPL (>= 2) OSI

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BioGeoBEARS")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BioGeoBEARS version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy