Thanks to visit codestin.com
Credit goes to mc-stan.org

Stan: Software for Bayesian Data Analysis

Bayesian Modeling

Stan enables sophisticated statistical modeling using Bayesian inference, allowing for more accurate and interpretable results in complex data scenarios.

Flexible and Scalable

Stan’s probabilistic programming language is suitable for a wide range of applications, from simple linear regression to multi-level models and time-series analysis.

Multi-Language, Cross-Platform Toolkit

Interfaces for Python, Julia, R, and the Unix shell make it easy to use Stan in any programming environment, on laptops, clusters, or in the cloud. A rich ecosystem of tools for validation and visualization support decision-making and communication.

bernoulli.stan
data {
  int<lower=0> N;
  array[N] int<lower=0, upper=1> y;
}
parameters {
  real<lower=0, upper=1> theta;
}
model {
  // uniform prior on interval 0,1
  theta ~ beta(1, 1);
  y ~ bernoulli(theta);
}

Get Started

Community Resources

Developer Resources