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Recent Posts

Version 1.2.1 of NIMBLE released
Version 1.2.0 of NIMBLE released
Version 1.1.0 of NIMBLE released
nimbleHMC version 0.2.0 released, providing improved HMC performance
Version 1.0.1 of NIMBLE released, fixing a bug in version 1.0.0 affecting certain models
Version 1.0.0 of NIMBLE released, providing automatic differentiation, Laplace approximation, and HMC sampling
Version 0.13.1 of NIMBLE released
Bug in newly-released version 0.13.0 affecting MCMC for models with predictive nodes
Version 0.13.0 of NIMBLE released
We’re looking for a programmer
NIMBLE virtual short course, January 4-6, 2023
Beta version of NIMBLE with automatic differentiation, including HMC sampling and Laplace approximation
Version 0.12.2 of NIMBLE released, including an important bug fix for some models using Bayesian nonparametrics with the dCRP distribution
NIMBLE in-person short course, June 1-3, Lisbon, Portugal
A close look at some linear model MCMC comparisons
A close look at some posted trials of nimble for accelerated failure time models
NIMBLE online tutorial, November 18, 2021
Version 0.12.1 of NIMBLE released
Posterior predictive sampling and other post-MCMC use of samples in NIMBLE
Version 0.11.1 of NIMBLE released
Version 0.11.0 of NIMBLE released
Bayesian Nonparametric Models in NIMBLE: General Multivariate Models
NIMBLE virtual short course, May 26-28
NIMBLE is hiring a programmer
Version 0.10.1 of NIMBLE released
NIMBLE’s sequential Monte Carlo (SMC) algorithms are now in the nimbleSMC package
Version 0.10.0 of NIMBLE released
New NIMBLE cheatsheat available
Version 0.9.1 of NIMBLE released
nimbleEcology: custom NIMBLE distributions for ecologists
registration open for online NIMBLE short course, June 3-5, 2020
registration open for NIMBLE short course, June 3-4, 2020 at UC Berkeley
NIMBLE short course at March ENAR meeting in Nashville
Variable selection in NIMBLE using reversible jump MCMC
Version 0.9.0 of NIMBLE released
New NIMBLE code examples
NIMBLE short course, June 3-4, 2020 at UC Berkeley
NIMBLE short course at Bayes Comp 2020 conference
Version 0.8.0 of NIMBLE released
Version 0.7.1 of NIMBLE released
Version 0.7.0 of NIMBLE released
Bayesian Nonparametric Models in NIMBLE, Part 2: Nonparametric Random Effects
Bayesian Nonparametric Models in NIMBLE, Part 1: Density Estimation
Spread the word: NIMBLE is looking for a post-doc
Version 0.6-12 of NIMBLE released
Version 0.6-11 of NIMBLE released
Quick guide for converting from JAGS or BUGS to NIMBLE
Two day workshop: Flexible programming of MCMC and other methods for hierarchical and Bayesian models
Version 0.6-10 of NIMBLE released
NIMBLE webinar Friday April 13
Version 0.6-9 of NIMBLE released
NIMBLE workshop in Switzerland, 23-25 April
NIMBLE has a post-doc or software developer position open
Version 0.6-8 of NIMBLE released
Version 0.6-6 of NIMBLE released!
Version 0.6-5 of NIMBLE released!
Better block sampling in MCMC with the Automated Factor Slice Sampler
Version 0.6-4 of NIMBLE released!
Writing reversible jump MCMC in NIMBLE
NIMBLE is hiring a programmer
Building Particle Filters and Particle MCMC in NIMBLE
Version 0.6-3 released.
Version 0.6-2 released!
NIMBLE package for hierarchical modeling (MCMC and more) faster and more flexible in version 0.6-1
Version 0.5-1 of NIMBLE released!
NIMBLE: A new way to do MCMC (and more) from BUGS code in R
NIMBLE paper in Journal of Computational and Graphical Statistics
Version 0.5 released!
Version 0.4-1 released!
We have a post-doc opening.
Version 0.4 released!

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Version 1.2.1 of NIMBLE released