Scientific Software
Updated 6 months ago

PreliZ — Peer-reviewed • Rank 17.8 • Science 98%

PreliZ: A tool-box for prior elicitation - Published in JOSS (2023)

Scientific Software
Updated 6 months ago

ChainoPy — Peer-reviewed • Rank 8.9 • Science 98%

ChainoPy: A Python Library for Discrete Time Markov Chain Based Stochastic Analysis - Published in JOSS (2024)

Scientific Software
Updated 6 months ago

pygtc — Peer-reviewed • Rank 11.2 • Science 95%

pygtc: beautiful parameter covariance plots (aka. Giant Triangle Confusograms) - Published in JOSS (2016)

Engineering (40%)
Scientific Software · Peer-reviewed
Updated 6 months ago

BCEA • Rank 17.0 • Science 77%

Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results

Updated 6 months ago

tidybayes • Rank 18.0 • Science 49%

Bayesian analysis + tidy data + geoms (R package)

Updated 6 months ago

bmlm • Rank 12.2 • Science 23%

Bayesian multilevel mediation models in R

Updated 6 months ago

ggmcmc • Rank 19.0 • Science 10%

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Updated 6 months ago

bennu • Rank 9.5 • Science 13%

Bayesian Estimation of Naloxone Numbers Underreporting

Updated 6 months ago

abms • Science 13%

Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.

Updated 6 months ago

speclet • Science 26%

A Bayesian hierarchical model to discover tissue-specific cancer driver genes and synthetic lethal interactions from CRISPR/Cas9 LoF screens.