Version 0.7.0 of NIMBLE released

February 5, 2019
By

(This article was first published on R – NIMBLE, and kindly contributed to R-bloggers)

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Version 0.7.0 provides a variety of new features, as well as various bug fixes.

New features include:

  • greatly improved efficiency of sampling for Bayesian nonparametric (BNP) mixture models that use the dCRP (Chinese Restaurant process) distribution;
  • addition of the double exponential (Laplace) distribution for use in models and nimbleFunctions;
  • a new “RW_wishart” MCMC sampler, for sampling non-conjugate Wishart and inverse-Wishart nodes;
  • handling of the normal-inverse gamma conjugacy for BNP mixture models using the dCRP distribution;
  • enhanced functionality of the getSamplesDPmeasure function for posterior sampling from BNP random measures with Dirichlet process priors.
  • handling of five-dimensional arrays in models;
  • enhanced warning messages; and
  • an HTML version of the NIMBLE manual.

Please see the NEWS file in the installed package for more details.

To leave a comment for the author, please follow the link and comment on their blog: R – NIMBLE.

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