Changes in Version 3.0.1
- Added capability to estimate models under the dynamic triple gamma prior (as in Knaus and Frühwirth-Schnatter )
- Fixed a bug in resample_alpha
- Fixed an issue on Debian
Changes in Version 2.1.1
- Added a more robust solve method for armadillo matrices
- Fixed issues with exported Bhattacharya and Rue algorithm
- Fixed issue with the usenames option for xcolor in the vignette
Changes in Version 2.0.6
- Fixed a bug in LPDS()
- Fixed issues on Fedora and Debian
- Changed compiler flag -DARMA_DONT_PRINT_ERRORS to -DARMA_WARN_LEVEL=0
Changes in Version 2.0.5
- Modified shrinkTVP.ltx to work with new jss.cls
Changes in Version 2.0.4
- Added CITATION file
- Modified DESCRIPTION as well as some documentation files
Changes in Version 2.0.3
- Fixed a bug in the sampling step for c_xi (Thanks to Tony Chernis for pointing it out)
- Fixed a bug in the sampling step for a_tau (Thanks to Wenjie Zhao for pointing it out)
- Added DG_MH_step to exported functions
- Fixed some typos in the documentation
- Added a newline to the print() function
Changes in Version 2.0.2
- Moved to stochvol 3.0
- Fixed an issue with the exported version sample_TG_TVP function
- Fixed an issue with the exported Bhattacharya algorithm
- define STRICT_R_HEADERS, include float.h, adjust some constants
Changes in Version 2.0.1
- Fixed an issue on Solaris
Changes in Version 2.0
- Added option to use triple gamma prior
- Added one-step update function updateTVP for modular use in other samplers
- Added convenience methods (residuals.shrinkTVP, fitted.shrinkTVP, etc…)
- Re-factored C++ code, improving on speed in some places
- Added forecast_shrinkTVP (and associated plot.forecast_shrinkTVP method), which allows for forecasting
- All C++ functions are now exported for use in other packages
- simTVP now allows user to adjust parameters governing SV process
- Re-factored plot.shrinkTVP to use layout() instead of par(mfrow = …)
- Bug fixes
- Updated the vignette
Changes in Version 1.1.1
Changes in Version 1.1.0
- Overhauled plotting functions. The default is now shaded areas instead of lines and more customization options are available.
- plot.mcmc.tvp now also adds time series information to the x-axis labels, thanks to zoo::index.
- Changed the way LPDS are calculated, moving them from the shrinkTVP function to a dedicated LPDS function.
- Added the new eval_pred_dens function, which allows the user to evaluate the one-step ahead predictive density.
- Objects returned from the shrinkTVP function are now of class shrinkTVP and not shrinkTVP_res.
Changes in Version 1.0.2:
- Added a vignette
- Bug fixes
Changes in Version 1.0.1:
- plot.mcmc.tvp now adds a horizontal line at 0
- Added a nicer print method for shrinkTVP_res objects
- Fixed some typos and errors in the documentation