NEWS
BVAR 1.0.5 (2024-02-16)
- Add historical decompositions and RMSE/LPS, and WAIC for analysis
- Improve the algorithm to draw sign restrictions
- Shocks are now built and checked per variable
- Fix the CRAN NOTE on missing "tangle output"
- Update FRED-datasets to 2023-10 vintage
- Newer FRED-QD files include (unannounced) small naming changes
BVAR 1.0.4 (2023-03-08)
- Fix bug from last update, where automatic ARIMA-priors where sqrt'd twice
- Thanks to Michael Wolf for pointing this out, and
- many thanks to Nirai Tomass for discovering the bug
- Update FRED-MD and FRED-QD datasets to the 2023-02 vintage
BVAR 1.0.3 (2022-02-25)
- Fix bug where warnings caused an error during automatic ARIMA-based priors
- Thanks to Martin Feldkircher for pointing this out
BVAR 1.0.2 (2021-11-26)
- Add DOI in the CITATION file for a new JSS publication
- DOI will be registered after publication on CRAN
- References now use the DOI interface instead of URLs
- Update FRED-QD and FRED-MD datasets to 2021-10
- Fix minor issues with vignette (e.g. fixed dataset, references, etc)
- Add verbosity to ARIMA-based automatic prior settings
- Add hook to simplify use of shared generics with vars
- Add README file to the package with correct URLs
BVAR 1.0.1 (2020-09-27)
- Add identification via zero and sign restrictions
- Update CITATION with the forthcoming JSS reference
- Prepare for tidy outputs in BVARverse
- Fix minor bugs and typos (internal checks, documentation, and vignette)
BVAR 1.0
- Clarify exact ToU of the FRED-QD dataset with St. Louis Fed
- Comply with the new modified ODC-BY 1.0 for FRED-QD
- Mention and add license to LICENSE file (linked in DESCRIPTION)
- Add the copyrighted series we are allowed to use
- Mention updates and license in the data documentation
- Fix and improve documentation
BVAR 1.0.0 (2020-05-05)
- Add fancy vignette with background and demonstrations
- Add new features
- New FRED-MD database and updated FRED-QD (
data("fred_md"))
- Transformation helper functions (
fred_transform(), fred_code())
- Add Conditional forecasting (see
?bv_fcast())
- New replacement functions for
irf() and predict() (irf(x) <- irf(x))
- Provide wrapper for parallelised execution (
par_bvar())
- Improve existing features
- Enhance IRF and forecast plotting
area argument adds polygons for credible intervals
t_back allows adding realised values before forecasts
col and fill arguments allow changing colours
- transparence is applied to sequential lines / polygons
- Improved x-axis labelling
- Regex may be used for
vars, vars_response, and vars_impulse
- New
type for coef(), fitted(), etc, to retrieve means / quantiles
- Add constructors for the prior mean
b argument in bv_mn()
- Auto
psi now allows for one order of integration
- Enhance speed considerably (~2-10 times faster)
- Move IRF and forecasts out of MCMC
- Capitalise upon matrix properties
- Cached and customised multivariate normal drawing
- Optimised FEVD computation
- Fix bugs
- IRF calculation is now ordered properly (please recalculate)
- coda methods are now proper methods (potential issue on Windows)
- Vectorised
scale_hess now works properly
- Remove deprecated functions and arguments
- Work on documentation and examples
- Update citation information
- Improve upon internal structure
- Unit tests with tinytest for development (skipped on CRAN)
- Outsource additional steps to dedicated functions
- More robustness checks and add verbosity to errors
- Tested extensively on R 4.0.0 and R 3.6.3
BVAR 0.2.2 (2020-02-20)
- Fix impulse response calculation (stray transpose of coefficients)
- Thanks, Maximilian Böck for helping us track this down
- Add some verbosity to error messages
- Prepare for next major release
- Include messages about future extensions and changes of FEVDs
- Update docs on future construction of sign restrictions
- Update docs on prediction and IRFs in
bvar()
- Add FRED-MD co-author Serena Ng to data contributors
BVAR 0.2.0 (2019-09-05)
- Extend methods further
- Add
summary() methods for bvar, bvar_irf and bvar_fcast
- Add
as.mcmc method to interface with coda
- Support hyperparameters and coefficients in
plot.bvar() and density()
- Add
companion() method to retrieve the companion matrix
- Improve
ylim of plot.bvar() density plots with multiple chains
- Add
logLik() method for bvar objects
- Fix
bv_psi() errors for modes other than "auto"
- Change
fcast and irf defaults of bvar() to NULL
- Move from MASS to mvtnorm for
dmvnorm() (used in logLik())
- Be more specific in error messages
- Add coda to suggestions for convergence assessment etc.
- Add files LICENSE, CITATION and NEWS.md
- Improve examples for further test coverage
R CMD check --run-donttest: One warning (deprecated functions)
BVAR 0.1.6
- Prepare for minor release 0.2.0
- Provide several standard methods for objects generated with BVAR
predict() for ex-post forecasts and updating quantiles
irf() / fevd() for ex-post irfs, fevds and updating quantiles
fitted(), residuals(), coef() and vcov()
density() as shorthand for calling density() on hyperparameters
- Add
print() methods for intermediate objects
- Includes
bv_minnesota, bv_metropolis and method outputs
- Rework plotting
plot.bvar() now supports types, subsets and multiple chains
- Deprecate
bv_plot_trace() and bv_plot_density()
- Add
density(), including a plot method
- Replace by
plot.bvar(), incl. plotting of multiple chains
- Change plotting of
bvar_fcast and bvar_irf
- Deprecate
bv_plot_irf(x) for plot(x$irf) or plot(irf(x))
- Move
conf_bands argument to predict() / irf()
- Add plot methods for
bvar_resid and bvar_density
- Add
sign_lim to bv_irf() to set maximum number of sign restriction draws
- Standardise prior construction further
- Align
alpha and lambda, improve psi alignment
bv_mn() may be called with a numeric vector for alpha and/or lambda
- Improve documentation
- Document related functions in joint
- Add details on priors
- Add less concise aliases for
bv_mh() and bv_mn()
bv_metropolis() and bv_minnesota()
- Fix bugs related to single confidence bands at 0.5
- Save
fred_qd with format version 2, lowering R dependency to (>= 3.3.0)
- Add vars to suggests for shared methods, import is bypassed
BVAR 0.1.5 (2019-07-09)
- Try to clarify licensing terms with the Federal Reserve
- Some copyrighted series may have to be removed
- Subset the dataset to only include variables in public domain for now
- Fix addition of prior pdfs to ML
alpha needs an sd parameter
psi now needs proper shape and scale parameters
- Add normalising constant
- Add lines to all density plots (when supplied via ellipsis)
- Add documentation on using
scale_hess as a vector
- Add two pre-constructed dummy priors
bv_soc() and bv_sur()
- Further split up calculation of marginal likelihood
BVAR 0.1.3 (2019-05-03)
- Update DESCRIPTION with linked DOI
- Change
\dontrun{} examples to \donttest{}
- Fix bounds in
plot_hyper()
- Update references with links via DOI
- Add and improve examples for
print and plot methods
R CMD check --as-cran: No errors or warnings, one note (New submission)