- Estimation of models with a three-level global-local hierarchical prior shrinkage for the structural and autoregressive matrices
- Info regarding the time-varying identification and the hierarchical prior included in the package description
- Package description in the progress bar
- Estimation of models with homoskedastic structural shocks
- Computations of in-sample conditional reduced form second-order moments: covariances, correlations, and standard deviations
- Removed cpp dependencies on functions exported from bsvars package
- Moved to GitHub Organisation bsvars at github.com/bsvars/bsvarTVPs
- Documentation for the estimation functions
- Included utility functions in /bsvarTOOLs
- Included utility functions in /mcmcTOOLs
- Simplified normalisation by developing a method
- Utility plots for a ribbon and TVI plots
- Changed naming to time-varying identification (TVI)
- Included defensive strategies for the Gibbs sampler programming.
- Cleaned code for hyper-parameters sampling.
- Included source code in cpp.
- Some basic R wrappers for the estimation functions.
README.Rmd
file included and updated to contain relevant installation info.