BAMBI (version 2.3.5)

Bivariate Angular Mixture Models

Description

Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2021) .

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Version

Install

install.packages('BAMBI')

Version

2.3.5

License

GPL-3

Maintainer

Saptarshi Chakraborty

Last Published

March 8th, 2023

Functions in BAMBI (2.3.5)

as.mcmc.list.angmcmc

Create an mcmc.list object from an angmcmc object

bridge_sampler.angmcmc

Log Marginal Likelihood via Bridge Sampling for angmcmc objects

bestmodel

Convenience function for extracting angmcmc object, and the value of the model selection criterion corresponding to the best fitted model in stepwise fits

contour_model

Contourplot for bivariate angular mixture model densities

fit_wnormmix

Fitting univariate wrapped normal mixtures using MCMC

fit_vmmix

Fitting univariate von Mises mixtures using MCMC

d_fitted

Density and random deviates from an angmcmc object

fit_vmsinmix

Fitting bivariate von Mises sine model mixtures using MCMC

extractsamples

Extract MCMC samples for parameters from an angmcmc object

fit_vmcosmix

Fitting bivariate von Mises cosine model mixtures using MCMC

fit_wnorm2mix

Fitting bivariate wrapped normal model mixtures using MCMC

fit_incremental_angmix

Stepwise fitting of angular mixture models with incremental component sizes and optimum model selection

paramtrace

Trace plot for parameters from an angmcmc object

quantile.angmcmc

Quantile estimates for parameters from an angmcmc object

fit_angmix

Fitting Bivariate and univariate angular mixture models

is.angmcmc

Angular MCMC (angmcmc) Object

plot.angmcmc

Summary plots for angmcmc objects

pointest

Point estimates for parameters from an angmcmc object

latent_allocation

Finding latent allocation (component indicators) from an angmcmc object

fix_label

Fix label switching in angmcmc objects

rvmmix

The univariate von Mises mixtures

rwnormmix

The univariate Wrapped Normal mixtures

rvmcosmix

The bivariate von Mises cosine model mixtures

logLik.angmcmc

Extract Log-Likelihood from angmcmc objects

lpdtrace

Trace and autocorrelation plots of log posterior density or log likelihood from an angmcmc object

rvmsin

The bivariate von Mises sine model

loo.angmcmc

Leave-one-out cross-validation (LOO) for angmcmc objects

densityplot.angmcmc

Density plots for angmcmc objects

rwnorm2mix

The bivariate Wrapped Normal mixtures

vm2_mle

Maximum likelihood estimation of bivariate von Mises parameters

rwnorm

The univariate Wrapped Normal distribution

rwnorm2

The bivariate Wrapped Normal distribution

zero_to_2pi

Wrap angles into [-pi, pi] or [0, 2*pi]

wind

Saturna Island wind directions

rvmsinmix

The bivariate von Mises sine model mixtures

rvm

The univariate von Mises distribution

rvmcos

The bivariate von Mises cosine model

tim8

Backbone Dihedral Angles of Triose Phosphate Isomerase (8TIM)

waic.angmcmc

Watanabe-Akaike Information Criterion (WAIC) for angmcmc objects

surface_model

Surface for bivariate angular mixture model densities

select_chains

Select chains from angmcmc objects

summary.angmcmc

Summary statistics for parameters from an angmcmc object

circ_cor

Sample circular correlation coefficients

circ_varcor_model

Analytic circular variances and correlations for bivariate angular models

add_burnin_thin

Add (extra) burnin and thin to angmcmc object after original run

BAMBI

BAMBI: An R package for Bivariate Angular Mixture Models

DIC

Deviance Information Criterion (DIC) for angmcmc objects

contour.angmcmc

Contour plot for angmcmc objects with bivariate data