bite
0.3Bayesian Integrative Models of Trait Evolution
Overview
Contains the JIVE (joint inter and intra-specific model of variance evolution) model and other Bayesian models aimed at understanding trait evolution. The goal of the package is to join phylogenetic comparative models (PCM) that tend to integrate various type of data (individual observations, environmental data, fossil data) into a hierarchical Bayesian framework. It contains various PCMs as well as functions to join those models into a hierarchical Bayesian framework in a flexible and user friendly way. It contains various Markov chain Monte-Carlo (MCMC) algorithms, methods for model comparison and many plotting function for pre- and post-processing data visualization. Finally, this package integrates functions allowing bridges between 'R' and the 'BEAST2' implementations of PCMs. Kostikova A, Silvestro D, Pearman PB, Salamin N (2016) doi:10.1093/sysbio/syw010. Gaboriau T, Mendes FK, Joly S, Silvestro D, Salamin N (in prep).
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 100%
- Documented parameters
- 81%
- Return-value docs
- 67%
- References docs
- 11%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.5.0 released · 2025-04-11
- archivedRemoved from CRAN2024-08-23issues were not corrected in time
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.32020-04-22
- RR 3.6.0 released · 2019-04-26
Package metadata
- Total releases
- 1
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.0.3
- Bundled data
- 6.0 KB / 3 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("bite")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.