causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
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Updated
Apr 24, 2024 - R
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
The Plausible Parameter Space (PPS) Shiny App is designed to help users define their priors in a linear regression with two regression coefficients.
daubl: Digit analysis using Benford's law
Tools for the Bayesian Discount Prior Function
pcal: Calibration of p-values for point null hypotheses
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