Showing 4 of total 4 results (show query)
mjskay
tidybayes:Tidy Data and 'Geoms' for Bayesian Models
Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.
Maintained by Matthew Kay. Last updated 7 months ago.
bayesian-data-analysisbrmsggplot2jagsstantidy-datavisualization
733 stars 14.72 score 7.3k scripts 20 dependents
epiforecasts
EpiNow2:Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is actively supported.
Maintained by Sebastian Funk. Last updated 1 months ago.
backcalculationcovid-19gaussian-processesopen-sourcereproduction-numberstancpp
123 stars 11.86 score 210 scripts
cole-monnahan-noaa
adnuts:No-U-Turn MCMC Sampling for 'ADMB' Models
Bayesian inference using the no-U-turn (NUTS) algorithm by Hoffman and Gelman (2014) <https://www.jmlr.org/papers/v15/hoffman14a.html>. Designed for 'AD Model Builder' ('ADMB') models, or when R functions for log-density and log-density gradient are available, such as 'Template Model Builder' models and other special cases. Functionality is similar to 'Stan', and the 'rstan' and 'shinystan' packages are used for diagnostics and inference.
Maintained by Cole Monnahan. Last updated 1 years ago.
24 stars 6.33 score 59 scripts
gravesti
psborrow:Bayesian Dynamic Borrowing with Propensity Score
A tool which aims to help evaluate the effect of external borrowing using an integrated approach described in Lewis et al., (2019) <doi:10.1080/19466315.2018.1497533> that combines propensity score and Bayesian dynamic borrowing methods.
Maintained by Isaac Gravestock. Last updated 1 months ago.
1 stars 2.60 score 4 scripts