simsam 0.1.0

Sample from custom discrete and continuous distributions (SciPy-like API)
Documentation 
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mod support;
mod traits;
mod rejection;
mod cdf_mc;
mod mcmc;
mod gibbs;
mod hmc;
mod copula;
mod factor;

#[cfg(feature = "symbolic")]
mod symbolic;

pub use support::HyperRect;
pub use traits::{HasSupportNd, PdfNd, PdfNdFn, LogPdfNd};
#[cfg(feature = "symbolic")]
pub use traits::GradientLogPdfNd;
pub use rejection::{RejectionSamplerNd, RejectionOptions};
pub use cdf_mc::{CdfMcEstimator, CdfMcOptions};
pub use mcmc::{MhOptions, MetropolisHastingsNd};
pub use gibbs::{GibbsOptions, GibbsSamplerNd, ConditionalSampler};
pub use hmc::{HmcOptions, HmcSamplerNd};
pub use copula::GaussianCopula;
#[allow(unused_imports)]
pub use copula::CopulaError;
pub use factor::{ConditionalFactorization, ConditionalFactorSampler};

#[cfg(feature = "symbolic")]
pub use symbolic::SymbolicPdfNd;