Other packages > Find by keyword >

bite  

Bayesian Integrative Models of Trait Evolution
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bite", "0.3")



Attach the package and use:
library("bite")
Maintained by
Theo Gaboriau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-22
Latest Update: 2020-04-22
Description:
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) . Gaboriau T, Mendes FK, Joly S, Silvestro D, Salamin N (in prep).
How to cite:
Theo Gaboriau (2020). bite: Bayesian Integrative Models of Trait Evolution. R package version 0.3, https://cran.r-project.org/web/packages/bite. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.3 (2020-04-22 18:44)
Other packages that cited bite R package
View bite citation profile
Other R packages that bite depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

helda  
Preprocess Data and Get Better Insights from Machine Learning Models
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
Download / Learn more Package Citations See dependency  
batteryreduction  
An R Package for Data Reduction by Battery Reduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency  
SEIRfansy  
Extended Susceptible-Exposed-Infected-Recovery Model
Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
CIFsmry  
Weighted summary of cumulative incidence functions
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency  
condGEE  
Parameter Estimation in Conditional GEE for Recurrent Event Gap Times
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA