rstanarm R package for Bayesian applied regression modeling
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Updated
Jun 25, 2024 - R
rstanarm R package for Bayesian applied regression modeling
Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.
Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM
Disciplina de Estatística Bayesiana da UNINOVE
An R package providing a GUI ('shiny' app) for the R package 'brms'.
R package for the Bayesian estimation of diagnostic classification models using Stan
R package for implementing (S)imulation (B)ased (C)alibration using (R)ank (S)tatistics using the approach described in https://arxiv.org/abs/1804.06788
Australian Alpine shrub warming experiment and field surveys
rstanarm R package for Bayesian applied regression modeling
Workshop to introduce participants to rstanarm and brms.
A test of how informative priors can be
Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.
R package. Bayesian linear model in a time series context (dynamic beta for each observation). Uses RStan to develop the MCMC algorithm. Author: Carlos Omar Pardo Gomez.
Analyzing snake movement data using Stan models (from R)
Book chapter on Bayesian eQTL mapping using Stan
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