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 0.12.2 is a bug fix release. In particular, this release fixes ...

We’ll be holding a in-person training workshop on NIMBLE, June 1-3, 2022, in Lisbon, Portugal, sponsored by the Centro de Estatística e Aplicações at the Universidade Lisboa (CEAUL). NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (...

We’ll be giving a two-hour tutorial on NIMBLE, sponsored by the environmental Bayes (enviBayes) section of ISBA (The International Society for Bayesian Analysis), on Thursday November 18, from 11 am to 1 pm US Eastern time. NIMBLE (r-nimble.org) is a system for fitting and programming with hierarchical models in R that ...

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 0.12.1, in combination with version 0.12.0 (which was released just last week), ...

(Prepared by Chris Paciorek and Sally Paganin.) Once one has samples from an MCMC, one often wants to do some post hoc manipulation of the samples. An important example is posterior predictive sampling, which is needed for posterior predictive checking. With posterior predictive sampling, we need to simulate new data ...

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 0.11.1 is a bug fix release, fixing a bug that was ...

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 ...

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 ...

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: –  ...

We’ve moved NIMBLE’s various sequential Monte Carlo (SMC) algorithms (bootstrap particle filter, auxiliary particle filter, ensemble Kalman filter, iterated filter2, and particle MCMC algorithms) to the new nimbleSMC package. So if you want to use any of these methods as of nimble version 0.10.0, please make sure to install ...

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 ...

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 ...

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 ...

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 ...

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, […]

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 ...

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 ...

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 ...

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 ...