@mc-stan.org
Expressive probabilistic programming language for writing statistical models. Fast Bayesian inference. Interfaces for Python, Julia, R, and the Unix shell. A rich ecosystem of tools for validation and visualization.
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@mc-stan.org- New laplace_latent_solve(_tol) for getting the mean and covariance (Cholesky) of the modal normal approximation - The compiler has fewer dependencies, with a smaller binary size and improved speeds.
@mc-stan.org- New functions to_vector_array, to_row_vector_array, and new overloads for to_matrix for arrays of (row-)vectors.
- New poisson_binomial distribution
- The same .stanfunctions can be #included multiple times without leading to errors about duplicated function definitions.
@mc-stan.orgRelease of CmdStan 2.40, including new Stan Math, core Stan, and Stanc, is now available!
Blog post with new features
blog.mc-stan.org/2026/09/16/r...
Highlights
- integrate_1d_double_exponential, a variadic version of old integrate_1d
- integrate_1d_gauss_kronrod, a different quadrature rule
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