Topic: rstan Goto Github
Some thing interesting about rstan
Some thing interesting about rstan
rstan,Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM
User: agarbuno
rstan,R code for specifying and fitting Diagnostic Classification Modeling via Stan
User: akislyonkova
rstan,🐳 Dockerfile for adding rstanarm to rocker/tidyverse
User: andrewheiss
Home Page: https://hub.docker.com/r/andrewheiss/docker-donors-ngo-restrictions/
rstan,Dockerfiles for ML with R - built on top of Rocker
User: antoine-sachet
Home Page: https://hub.docker.com/u/asachet
rstan,This is a full conjoint analysis study ran on 250 survey participants, analysed through Bayesian Hierarchical Model, using RSTAN package
User: bartosz-g
rstan,Two days course on Bayesian Data Analysis for Medical Data at the Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, 13 - 14 June 2017
User: berkeley3
Home Page: http://www.izsto.it/index.php/formazione/corsi-e-convegni/2025-analisi-bayesiana-dei-dati-biomedici
rstan,Material for my RStan course at ETH Zurich
User: bgoodri
Home Page: https://www.zhrcourses.uzh.ch/en/programm2020/bayesian-analysis.html
rstan,Public Health Surveillance
User: connordonegan
Home Page: https://connordonegan.github.io/surveil
rstan,Bayesian Statistics in R
User: daniel-carpenter
rstan,Optimal drug dosing with MCMC using rstan
User: dorsa-arezooji
rstan,Book chapter on Bayesian eQTL mapping using Stan
User: dvav
rstan,Bayesian Model Building and Evaluation Repository
User: elkronos
rstan,Lottery analysis
User: englianhu
rstan,Analyzing snake movement data using Stan models (from R)
User: eveskew
Home Page: https://doi.org/10.1643/CH-16-513
rstan,An R package providing a GUI ('shiny' app) for the R package 'brms'.
User: fweber144
Home Page: https://fweber144.github.io/shinybrms/
rstan,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.
User: giabaio
Home Page: https://gianluca.statistica.it/software/survhe/
rstan,Survival analysis in health economic evaluation using Bayesian modelling and Hamiltonian Monte Carlo Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation.
User: giabaio
Home Page: https://gianluca.statistica.it/software/survhe/
rstan,Dynamic estimation of group-level opinion in R
User: jamesdunham
Home Page: https://jdunham.io/dgo
rstan,Data used by dgo in examples and vignettes
User: jamesdunham
rstan,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
User: jasonmtroos
Home Page: https://jasonmtroos.github.io/sbcrs/
rstan,A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling
User: jbris
Home Page: https://jbris.github.io/stan-cmdstanr-docker/
rstan,A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.
User: jbris
Home Page: https://jbris.github.io/stan-cmdstanr-gpu-docker/
rstan,A Docker image to run Stan, rstanarm, and brms for Bayesian statistical modelling
User: jbris
rstan,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.
User: jhelvy
rstan,Australian Alpine shrub warming experiment and field surveys
User: jscamac
Home Page: http://onlinelibrary.wiley.com/doi/10.1111/gcb.13614/full
rstan,Using Kaggle Notebook to run code in Statistical Rethinking
User: liao961120
Home Page: https://www.kaggle.com
rstan,:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
User: m-clark
Home Page: https://m-clark.github.io/bayesian-basics/
rstan,Workshop to introduce participants to rstanarm and brms.
User: m-clark
Home Page: https://m-clark.github.io/easy-bayes/
rstan,A test of how informative priors can be
User: m-clark
rstan,Introduction to Stan, rstan & rstanarm
User: maxfarrell
Home Page: http://qcbs.ca/wiki/r_symposium
rstan,rstanmsm: Markov-Switching Models using Stan
User: merlinheidemanns
rstan,A package for analyzing genetic data for association with phenotypes
Organization: ncbi-hackathons
rstan,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.
User: opardo
rstan,Estos son algunos ejemplos de práctica que se han hecho en algún mometo.
User: qsergio
rstan,An R package for semiparametric survival analysis.
User: rvpanaro
Home Page: https://rvpanaro.github.io/spsurv/
rstan,rstanarm R package for Bayesian applied regression modeling
Organization: stan-dev
Home Page: https://mc-stan.org/rstanarm
rstan,Disciplina de Estatística Bayesiana da UNINOVE
User: storopoli
Home Page: https://storopoli.github.io/Estatistica-Bayesiana
rstan,Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.
Organization: traitecoevo
rstan,This repository contains all practical notes for the module GEOG0125 (Advanced Topics in Social & Geographic Data Sciences) for 23/24
User: uclpg-msc-sgds
Home Page: https://uclpg-msc-sgds.github.io/GEOG0125/
rstan,Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies
User: vnyaga
rstan,R package for the Bayesian estimation of diagnostic classification models using Stan
User: wjakethompson
Home Page: https://measr.info
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.