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Cpp source usage

For Package Developers

This package provides public C++ headers. Some might be implement these useful.

bvharsim.h: Rcpp random generation functions that are widely used in Bayesian statistics.
ols.h: OLS classes
minnesota.h: Minnesota prior classes
mcmcsv.h: Classes for stochastic volatility models. It includes
- Minnesota prior
- SSVS prior
- Horseshoe prior
mcmchs.h: Horseshoe prior classes
mcmcssvs.h: SSVS prior classes
bvharprogress.h: Simple progress bar classes
bvharinterrupt.h: Interruption handler classes

You can use these by writing in your R package DESCRIPTION:

LinkingTo: 
    BH,
    Rcpp,
    RcppEigen,
    bvhar

Also, you can use in your single C++ source:

// [[Rcpp::depends(BH, RcppEigen, bvhar)]]

MCMC headers

mcmc*.h has classes that can conduct MCMC. Since it is designed thread-safe, you can OpenMP for parallel multiple chain loop.

Initialize using smart pointer (in this package: std::unique_ptr)
- Since each class requires other structure as its parameter, you first initialize it.
- Each struct is inside the same header.
doPosteriorDraws() updates MCMC draws, so use this inside loop.
returnRecords(burn, thin) returns Rcpp::List of every MCMC record.

In case of SV model, you can define your own prior by defining a derived class.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.