Publications by Chris Paciorek
Version 0.8.0 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 0.8.0 provides some new features, speed improvements, and a variety of bug fixes and...
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NIMBLE short course at Bayes Comp 2020 conference
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 NIMB...
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NIMBLE short course, June 3-4, 2020 at UC Berkeley
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 using ...
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New NIMBLE code examples
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 widely used in ecology. We also have example...
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Version 0.9.0 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 0.9.0 provides some new features as well as providing a variety of speed improvemen...
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Variable selection in NIMBLE using reversible jump MCMC
Prepared by Sally Paganin. Reversible Jump MCMC Overview Reversible Jump MCMC (RJMCMC) is a general framework for MCMC simulation in which the dimension of the parameter space (i.e., the number of parameters) can vary between iterations of the Markov chain. It can be viewed as an extension of the Metropolis-Hastings algorithm onto more general s...
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NIMBLE short course at March ENAR meeting in Nashville
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 applied statistics and is titled: “P...
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registration open for NIMBLE short course, June 3-4, 2020 at UC Berkeley
Registration is now open for 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 workshop will cover: the basic concepts and workflows...
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registration open for online NIMBLE short course, June 3-5, 2020
Registration is now open for a three-day online training workshop on NIMBLE, June 3-5, 2020, 9 am – 2 pm California time (noon – 5 pm US EDT). This online workshop will be held in place of our previously planned in-person workshop. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical...
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nimbleEcology: custom NIMBLE distributions for ecologists
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 distributio...
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