Articles by Chris Paciorek

Version 0.11.0 of NIMBLE released

April 24, 2021 | Chris Paciorek

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 0.11.0 provides a variety of new functionality, improved error trapping, and ...
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NIMBLE virtual short course, May 26-28

March 5, 2021 | Chris Paciorek

We’ll be holding a virtual training workshop on NIMBLE, May 26-28, from 8 am to 1 pm US Pacific (California) time each day. 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). The workshop will ...
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Version 0.10.1 of NIMBLE released

November 30, 2020 | Chris Paciorek

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). We’ve released version 0.10.1.  Version 0.10.1 is primarily a bug fix release: –  ...
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Version 0.10.0 of NIMBLE released

October 14, 2020 | Chris Paciorek

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 0.10.0 provides new features, improvements in speed of building models and ...
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New NIMBLE cheatsheat available

June 14, 2020 | Chris Paciorek

We have prepared a cheatsheet that summarizes NIMBLE’s functionality and syntax in a two-page format that follows the RStudio collection of cheatsheets. 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). Please see ...
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Version 0.9.1 of NIMBLE released

May 27, 2020 | Chris Paciorek

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 0.9.1 is primarily a bug fix release but also provides some ...
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nimbleEcology: custom NIMBLE distributions for ecologists

April 18, 2020 | Chris Paciorek

Prepared by Ben Goldstein. What is nimbleEcology? nimbleEcology is an auxiliary nimble package for ecologists. nimbleEcology contains a set of distributions corresponding to some common ecological models. When the package is loaded, these distributions are registered to NIMBLE and can be used directly in models. nimbleEcology contains distributions often used ...
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NIMBLE short course at March ENAR meeting in Nashville

January 4, 2020 | Chris Paciorek

We’ll be holding a half-day short course on NIMBLE on March 22 at the ENAR meeting in Nashville, Tennessee. The annual ENAR meeting is a major biostatistics conference, sponsored by the eastern North American region of the International Biometric Society. The short course will focus on usage of NIMBLE in ...
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Version 0.9.0 of NIMBLE released

December 21, 2019 | Chris Paciorek

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 0.9.0 provides some new features as well as providing a variety ...
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New NIMBLE code examples

December 19, 2019 | Chris Paciorek

We’ve posted a variety of new code examples for NIMBLE at https://r-nimble.org/examples. These include some introductory code for getting started with NIMBLE, as well as examples of setting up specific kinds of models such as GLMMs, spatial models, item-response theory models, and a variety of models ...
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NIMBLE short course, June 3-4, 2020 at UC Berkeley

December 11, 2019 | Chris Paciorek

We’ll be holding a two-day training workshop on NIMBLE, June 3-4, 2020 in Berkeley, California. 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). The tutorial will cover the basic concepts and workflows for ...
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NIMBLE short course at Bayes Comp 2020 conference

September 13, 2019 | Chris Paciorek

We’ll be giving a short course on NIMBLE on January 7, 2020 at the Bayes Comp 2020 conference being held January 7-10 in Gainesville, Florida, USA. Bayes Comp is a popular biennial ISBA-sponsored conference focused on computational methods/algorithms/technologies for Bayesian inference. The short course focuses on programming algorithms in NIMBLE ...
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Version 0.8.0 of NIMBLE released

June 7, 2019 | Chris Paciorek

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 0.8.0 provides some new features, speed improvements, and a variety of ...
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Version 0.7.1 of NIMBLE released

March 15, 2019 | Chris Paciorek

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 ...
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Version 0.7.0 of NIMBLE released

February 5, 2019 | Chris Paciorek

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 ...
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