# Bivariate Angular Mixture Models

## Documentation for package ‘BAMBI’ version 2.3.0

- DESCRIPTION file.

## Help Pages

add_burnin_thin | Add (extra) burnin and thin to angmcmc object after original run
angmcmc | Angular MCMC ('angmcmc') Object
as.mcmc.list.angmcmc | Create an mcmc.list object from an angmcmc object
bestcriterion | Convenience function for extracting angmcmc object, and the value of the model selection criterion corresponding to the best fitted model in stepwise fits
bestmodel | Convenience function for extracting angmcmc object, and the value of the model selection criterion corresponding to the best fitted model in stepwise fits
bridge_sampler.angmcmc | Log Marginal Likelihood via Bridge Sampling for angmcmc objects
circ_cor | Sample circular correlation coefficients
circ_varcor_model | Analytic circular variances and correlations for bivariate angular models
contour.angmcmc | Contour plot for angmcmc objects with bivariate data
contour_model | Contourplot for bivariate angular mixture model densities
densityplot.angmcmc | Density plots for angmcmc objects
DIC | Deviance Information Criterion (DIC) for angmcmc objects
dvm | The univariate von Mises distribution
dvmcos | The bivariate von Mises cosine model
dvmcosmix | The bivariate von Mises cosine model mixtures
dvmmix | The univariate von Mises mixtures
dvmsin | The bivariate von Mises sine model
dvmsinmix | The bivariate von Mises sine model mixtures
dwnorm | The univariate Wrapped Normal distribution
dwnorm2 | The bivariate Wrapped Normal distribution
dwnorm2mix | The bivariate Wrapped Normal mixtures
dwnormmix | The univariate Wrapped Normal mixtures
d_fitted | Density and random deviates from an angmcmc object
extractsamples | Extract MCMC samples for parameters from an angmcmc object
fit_angmix | Fitting Bivariate and univariate angular mixture models
fit_incremental_angmix | Stepwise fitting of angular mixture models with incremental component sizes and optimum model selection
fit_vmcosmix | Fitting bivariate von Mises cosine model mixtures using MCMC
fit_vmmix | Fitting univariate von Mises mixtures using MCMC
fit_vmsinmix | Fitting bivariate von Mises sine model mixtures using MCMC
fit_wnorm2mix | Fitting bivariate wrapped normal model mixtures using MCMC
fit_wnormmix | Fitting univariate wrapped normal mixtures using MCMC
fix_label | Fix label switching in angmcmc objects
is.angmcmc | Angular MCMC ('angmcmc') Object
latent_allocation | Finding latent allocation (component indicators) from an angmcmc object
logLik.angmcmc | Extract Log-Likelihood from angmcmc objects
loo.angmcmc | Leave-one-out cross-validation (LOO) for angmcmc objects
lpdtrace | Trace and autocorrelation plots of log posterior density or log likelihood from an angmcmc object
minuspi_to_pi | Wrap angles into '[-pi, pi]' or '[0, 2*pi]'
paramtrace | Trace plot for parameters from an angmcmc object
plot.angmcmc | Summary plots for angmcmc objects
pointest | Point estimates for parameters from an angmcmc object
quantile.angmcmc | Quantile estimates for parameters from an angmcmc object
rvm | The univariate von Mises distribution
rvmcos | The bivariate von Mises cosine model
rvmcosmix | The bivariate von Mises cosine model mixtures
rvmmix | The univariate von Mises mixtures
rvmsin | The bivariate von Mises sine model
rvmsinmix | The bivariate von Mises sine model mixtures
rwnorm | The univariate Wrapped Normal distribution
rwnorm2 | The bivariate Wrapped Normal distribution
rwnorm2mix | The bivariate Wrapped Normal mixtures
rwnormmix | The univariate Wrapped Normal mixtures
r_fitted | Density and random deviates from an angmcmc object
select_chains | Select chains from angmcmc objects
summary.angmcmc | Summary statistics for parameters from an angmcmc object
surface_model | Surface for bivariate angular mixture model densities
tim8 | Backbone Dihedral Angles of Triose Phosphate Isomerase (8TIM)
vm2_mle | Maximum likelihood estimation of bivariate von Mises parameters
waic.angmcmc | Watanabe-Akaike Information Criterion (WAIC) for angmcmc objects
wind | Saturna Island wind directions
zero_to_2pi | Wrap angles into '[-pi, pi]' or '[0, 2*pi]'