reviser 0.2.0
Bug fixes
summary() on a long-format tbl_pubdate no
longer fails with “character string is not in a standard unambiguous
format”. The method assumed a wide layout and treated the
pub_date and value column names as publication
dates, so it failed on every get_revisions() result. The
reported number of time periods and vintages was also wrong for long
input.print() and summary() on a
kk_model now report which specification was estimated.
model = "Howrey" and model = "Classical"
previously produced identical headers, because the fitted object never
recorded the model argument. jvn_model objects
likewise report whether news, noise or both were estimated.
New features
kk_model and jvn_model objects gain the
standard extractor methods: coef(), vcov(),
logLik(), nobs(), fitted(),
residuals() and predict(). AIC()
and BIC() therefore work, and reproduce the values shown by
summary().- New
states() generic to access the estimated state
paths of a fitted revision model, replacing direct use of
fit$states.
- New
validate_vintages() checks a
tbl_pubdate or tbl_release object against the
documented class contract. See ?"reviser-vintages-classes"
for the contract itself.
Internal
- Covariance matrices are obtained through a Cholesky factorization,
which exploits the symmetry of the Hessian and reports when it is not
positive definite instead of silently applying a ridge. Delta-method
transformations exploit the diagonal structure of the Jacobian, and the
Kalman recursions use
tcrossprod(). Estimates are
unchanged.
reviser 0.1.1
- Updated repository, issue tracker, and documentation links to the
rOpenSci organization and docs site.
- Updated package documentation and README badges to use rOpenSci
URLs.
- Added rOpenSci R-universe installation instructions to the
README.
- Removed the package-specific code of conduct file in favor of the
rOpenSci project-wide code of conduct.
- Disabled automatic pkgdown deployment to GitHub Pages and replaced
the legacy website with a redirect page.
reviser 0.1.0
- Initial CRAN release.
- Added Jacobs-van Norden nowcasting support via
jvn_nowcast().
- Improved estimation methods and solver behavior in
kk_nowcast().
- Expanded examples, tests, and documentation.