Publications by Chris Paciorek
Version 0.6-9 of NIMBLE released
We’ve released the newest version of NIMBLE on CRAN and on our website. Version 0.6-9 is primarily a maintenance release with various bug fixes and fixes for CRAN packaging issues. New features include: dimensions in a model will now be determined from either ‘inits’ or ‘data’ if not otherwise available; one can now specify “nBootRep...
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NIMBLE webinar Friday April 13
We’ll be presenting a webinar on NIMBLE, hosted by the Eastern North America Region of the International Biometric Society. Details are as follows. Programming with hierarchical statistical models: An introduction to the BUGS-compatible NIMBLE system for MCMC and more Friday, April 13, 2018 11:00 a.m. – 1:00 p.m. EST Must register before Apr...
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Version 0.6-10 of NIMBLE released
We’ve released the newest version of NIMBLE on CRAN and on our website. Version 0.6-10 primarily contains updates to the NIMBLE internals that may speed up building and compilation of models and algorithms, as well as a few bug fixes. Changes include: some steps of model and algorithm building and compilation are faster; compiled execution wit...
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Two day workshop: Flexible programming of MCMC and other methods for hierarchical and Bayesian models
We’ll be giving a two day workshop at the 43rd Annual Summer Institute of Applied Statistics at Brigham Young University (BYU) in Utah, June 19-20, 2018. Abstract is below, and registration and logistics information can be found here. This workshop provides a hands-on introduction to using, programming, and sharing Bayesian and hierarchical mod...
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Version 0.6-11 of NIMBLE released
We’ve released the newest version of NIMBLE on CRAN and on our website. Version 0.6-11 has important new features, notably support for Bayesian nonparametric mixture modeling, and more are on the way in the next few months. New features include: support for Bayesian nonparametric mixture modeling using Dirichlet process mixtures, with speciali...
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Version 0.6-12 of NIMBLE released
We’ve released the newest version of NIMBLE on CRAN and on our website. Version 0.6-12 is primarily a maintenance release with various bug fixes. Changes include: a fix for the bootstrap particle filter to correctly calculate weights when particles are not resampled (the filter had been omitting the previous weights when calculating the new we...
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Bayesian Nonparametric Models in NIMBLE, Part 1: Density Estimation
Bayesian Nonparametric Models in NIMBLE, Part 1: Density Estimation Bayesian nonparametrics in NIMBLE: Density estimation Overview NIMBLE is a hierarchical modeling package that uses nearly the same language for model specification as the popular MCMC packages WinBUGS, OpenBUGS and JAGS, while making the modeling language extensible — you...
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Bayesian Nonparametric Models in NIMBLE, Part 2: Nonparametric Random Effects
Bayesian nonparametrics in NIMBLE: Nonparametric random effects Overview NIMBLE is a hierarchical modeling package that uses nearly the same language for model specification as the popular MCMC packages WinBUGS, OpenBUGS and JAGS, while making the modeling language extensible — you can add distributions and functions — and also allowing custo...
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Version 0.7.0 of NIMBLE released
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...
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Version 0.7.1 of NIMBLE released
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 0.7.1 is primarily a maintenance release with a couple important bug fixes and a few...
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