nimble 1.0.1 is released: cran.r-project.org/web/packages/n… This follows right on the heels of the major 1.0.0 release, with bug fixes so please do update.

Excited to be running a workshop on Bayesian capture-recapture inference w hidden Markov models, #rstats & R-nimble 🥳 Thanks for the invitation VIBASS 8 🥰 Website is up and running w slides, code & data oliviergimenez.github.io/bayesian-hmm-c…

Once again amazed by the R-nimble magic 🤩 I'm trying to fit dynamic ODE-based models to noisy data w/ Bayes and MCMC. Calling R functions within the code w/ nimbleRcall() is a game changer, as well as the possibility to change samplers. oliviergimenez.github.io/fitODEnimble/ #RStats

If you're at #JSM2023 and interested in hearing the latest about nimble for MCMC and beyond, I'll be talking about Hamiltonian Monte Carlo (NUTS) and Laplace approximation using nimble's new automatic differentiation features. Wed 9:05-9:20 CC-206B.

We've released an updated version of Hamiltonian Monte Carlo (our implementation of the NUTS sampler) for nimble in package nimbleHMC (CRAN.R-project.org/package=nimble…). Among other things, it fixes an efficiency glitch in the initial release. r-nimble.org/nimblehmc-vers…

10-14 June 2024 5-day workshop on "Modeling distribution, abundance, demography and population dynamics using R, JAGS and NIMBLE" at the Spanish Game Research Center (IREC) in Ciudad Real 🇪🇸 by M. Kéry M. Schaub Gurutzeta Guillera Jose Lahoz-Monfort M. Victoria Jiménez-Franco J. Jiménez 🤩

nimble version 1.1.0 is released on CRAN. Blog post: r-nimble.org/version-1-1-0-…. Highlights: updates to automatic differentiation for more general Hamiltonian Monte Carlo and Laplace approximation. Addition of (1D) 'integrate' function.

— ABSTRACT SUBMISSION OPEN — The #ISEC2024 conference will showcase what’s cool and exciting in #statisticalecology. Want to be part of it? 🤓☔️ You can now submit your abstract for talk or poster. Just follow the link on our website: statisticalecology.org

NIMBLE, HMMs, GAMs for movement data, Bayesian MCMCs .. do not miss the fab workshopsvat #ISEC_2024 IN Swansea this July! statisticalecology.org/?page_id=58

So we developed an alternative Bayesian approach, using the amazing R-nimble R package. We come up with two solutions, a parametric approach based on the classic 's-shape' curve discussed in the literature and a more flexible non-parametric method.

Todo preparado para el taller sobre Inferencia Bayesiana en Ecología con R y R-nimble! Tres días en el IREC (CSIC, UCLM, JCCM) hablando sobre ecología y estadśitica 📊🦌📉🐰. Más info: jabiologo.github.io/web/tutorials/… #dIBER #rstat #bayes Valentin Lauret Cheatsheet by Sonia Illanas 😊

Running these analyses are bit complicated, and I rely a lot on the amazing R-nimble package to build my models. But to make things more user-friendly I developed baorista, a dedicated R package that put the most complicated things in the backend github.com/ercrema/baoris…

We spent such a great time talking about ecological modeling and Bayesian Inference with R-nimble at IREC (CSIC, UCLM, JCCM) #IBER24! 🗺️🦌📊🐬📉Thanks Pepe Jimenez for your talk and all attendees for coming, we hope to repeat it soon! Materials (🇪🇸) at jabiologo.github.io/web/tutorials/… #rstats

Currently struggling with MCMC simulation analysis where some data sets require centered RE parameterization, other noncentered. Nimble just added a new sampler that does both 🤯🤯 rdocumentation.org/packages/nimbl…

nimble 1.2.0 is out! (details: r-nimble.org/version-1-2-0-…). Includes adaptive Gauss-Hermite quadrature, better Laplace approx, Pólya-gamma sampler, noncentered sampler, revamped MCEM, new ways to provide your own distributions and functions with internal data, and some speedups.

Minor update to nimbleHMC, with No-U-turn Hamiltonian Monte Carlo samplers for nimble models: CRAN.R-project.org/package=nimble…. Version 0.2.2 includes better diagnostic checking for AD (automatic differentiation) support in any parts of a model to be sampled by HMC.

We've updated nimbleEcology to use nimble's automatic differentiation features, allowing its occupancy, capture-recapture, HMM, and N-mixture models to work with HMC, Laplace approximation, and other AD algorithms. CRAN.R-project.org/package=nimble… Ben Goldstein

🚨 The second article of my PhD is out 🥳 We integrated commute-time distance⚡ into dynamic occupancy models using R-nimble to model carnivore recolonisation 🦦🐱. Curious why we're using hierarchical models for connectivity analyses? Check out the blog post!

New versions of nimble and nimbleHMC are available on CRAN. nimble now includes a Barker block sampler for MCMC, better implementations of Laplace approximation and adaptive Gauss-Hermite quadrature, and calling any user-provided optimization function. r-nimble.org/version-1-3-0-…

Announcing the new nimbleMacros package on CRAN, which provides more compact ways to specify linear model components or other model components in the nimble hierarchical modeling language. You can also write your own model macros. r-nimble.org/announcing-the…