Other packages > Find by keyword >

BEDASSLE  

Quantifies Effects of Geo/Eco Distance on Genetic Differentiation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BEDASSLE", "1.6.1")



Attach the package and use:
library("BEDASSLE")
Maintained by
Gideon Bradburd
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-07-31
Latest Update: 2024-01-11
Description:
Provides functions that allow users to quantify the relative contributions of geographic and ecological distances to empirical patterns of genetic differentiation on a landscape. Specifically, we use a custom Markov chain Monte Carlo (MCMC) algorithm, which is used to estimate the parameters of the inference model, as well as functions for performing MCMC diagnosis and assessing model adequacy.
How to cite:
Gideon Bradburd (2013). BEDASSLE: Quantifies Effects of Geo/Eco Distance on Genetic Differentiation. R package version 1.6.1, https://cran.r-project.org/web/packages/BEDASSLE. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2013-07-31 21:22), 1.1 (2013-09-11 20:46), 1.2 (2013-10-01 07:37), 1.3 (2014-01-25 08:07), 1.4 (2014-06-10 07:07), 1.5 (2014-12-04 00:30), 1.6 (2022-04-10 21:12)
Other packages that cited BEDASSLE R package
View BEDASSLE citation profile
Other R packages that BEDASSLE depends, imports, suggests or enhances
Complete documentation for BEDASSLE
Functions, R codes and Examples using the BEDASSLE R package
Some associated functions: BEDASSLE-internal . BEDASSLE-package . Covariance . HGDP.bedassle.data . MCMC . MCMC_BB . calculate.all.pairwise.Fst . calculate.pairwise.Fst . link.up.posteriors . make.continuing.params . mcmc.operators . plot_acceptance_rate . plot_all_acceptance_rates . plot_all_joint_marginals . plot_all_marginals . plot_all_phi_marginals . plot_all_phi_trace . plot_all_trace . plot_joint_marginal . plot_marginal . plot_phi_marginal . plot_phi_trace . plot_posterior_predictive_samples . plot_trace . posterior.predictive.sample . 
Some associated R codes: BB_Likelihood_counts.R . BB_Prior_prob_phi.R . BB_Update_mu.R . BB_Update_phi.R . BB_Update_thetas.R . Covariance.R . Initialize.params.R . Likelihood_counts.R . Likelihood_thetas.R . MCMC.R . MCMC_BB.R . Prior_prob_alpha0.R . Prior_prob_alpha2.R . Prior_prob_alphaD.R . Prior_prob_alphaE.R . Prior_prob_beta.R . Prior_prob_mu.R . Shift.R . Update_a0.R . Update_a2.R . Update_aD.R . Update_aE.R . Update_beta.R . Update_mu.R . Update_thetas.R . a0_gibbs_rate.R . calculate.all.pairwise.Fst.R . calculate.pairwise.Fst.R . identify_invariant_loci.R . link.up.posteriors.R . load_MCMC_output.R . load_posterior_predictive_samples.R . make.continuing.params.R . plot_acceptance_rate.R . plot_all_acceptance_rates.R . plot_all_joint_marginals.R . plot_all_marginals.R . plot_all_phi_marginals.R . plot_all_phi_trace.R . plot_all_trace.R . plot_joint_marginal.R . plot_marginal.R . plot_phi_marginal.R . plot_phi_trace.R . plot_posterior_predictive_samples.R . plot_trace.R . posterior.predictive.sample.R . simulate_allele_count_data.R . transform_frequencies.R .  Full BEDASSLE package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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