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BAMBI 2.1.0

  • fixed bugs that were causing some examples to fail (due to an update in package loo)
  • updated documentation of dwnorm, dwnorm2, fit_angmix and fit_incremental_angmix
  • added an optional argument 'force_approx_const' to dvmcos
  • added a function 'bestcriterion' to extract the value of best model selection criterion from stepwise fits.
  • densityplot now uses lattice::wireframe instead of persp
  • added alpha shading argument in contour.angmcmc.
  • removed press.enter argument from plot.angmcmc, paramtrace and lpdtrace.
  • changed BESSI, BESSI0, BESSI0_C and BESSI1. They're now all wrappers for R::bessel_i.
  • changed "n"-cluster to "n"-component in print.angmcmc.
  • Deleted AIC.angmcmc, BIC.angmcmc -- they can be directly computed using stats::AIC and stats::BIC.

BAMBI 2.0.0

  • Combined all fitting functions with known component sizes into one single funciton called 'fit_angmix'. The previous model specific fitting functions e.g. 'fit_vmsinmix' etc. are retained for backward compatibility, but they all now wrap to the same 'fit_angmix' function. The 'fit_angmix' function includes a number of new features, such as multiple chains, an improved auto-tuning algorithm, permutation sampling, and option to impose restrictions on the component specific covariance parameters (such as fitting product mixtures).
  • fit_stepwise_univariate and fit_stepwise_bivariate are now merged into fit_incremental_angmix.
  • coda::as.mcmc.list method for mcmc objects is added.
  • Added 'add_burnin_thin' as a post-processing function.
  • Added 'bridge_sampler.angmcmc' method for bridgesampling::bridge_sampler
  • WAIC computation is now done through the S3 method waic.angmcmc from package loo.
  • Added loo.angmcmc function.
  • fix_label now supports all methods for label.switching::label.switching
  • A plot method for angmcmc objects is addedd.
  • A naive rejection sampling method for vmsin and vmcos generation is added.

BAMBI 1.2.1

  • Added two functions, one for evaluation of sample circular correlations for paired circular data, and one for evaluating population circular correlations and variances for vmsin, vmcos and wnorm2 models.
  • Corrected a few typos in documentation.
  • Corrected valgrind memory errors.

BAMBI 1.1.1

  • Added arXiv link to vignette in DESCRIPTION.
  • Added native routine registration.
  • Corrected a few typos in documentation.

BAMBI 1.1.0

  • Added option to choose hyper parameters in the Dirichlet prior for mixing proportion.
  • Added a function to create logLik objects from angmcmc objects.
  • Added a function to extract the best fitted model object from step-wise fits.

BAMBI 1.0.1

  • Corrected bugs that caused build to fail with clang, MacOS, and Solaris.