Releases: ropensci/reviser
Releases · ropensci/reviser
Release list
reviser 0.2.0
Bug fixes
summary()on a long-formattbl_pubdateno longer fails with
"character string is not in a standard unambiguous format". The method
assumed a wide layout and treated thepub_dateandvaluecolumn
names as publication dates, so it failed on everyget_revisions()
result. The reported number of time periods and vintages was also wrong
for long input.print()andsummary()on akk_modelnow report which specification
was estimated.model = "Howrey"andmodel = "Classical"previously
produced identical headers, because the fitted object never recorded the
modelargument.jvn_modelobjects likewise report whether news,
noise or both were estimated.
New features
kk_modelandjvn_modelobjects gain the standard extractor methods:
coef(),vcov(),logLik(),nobs(),fitted(),residuals()and
predict().AIC()andBIC()therefore work, and reproduce the values
shown bysummary().- New
states()generic to access the estimated state paths of a fitted
revision model, replacing direct use offit$states. - New
validate_vintages()checks atbl_pubdateortbl_releaseobject
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 usetcrossprod(). 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
- Added Jacobs-van Norden nowcasting support via
jvn_nowcast(). - Improved estimation methods and solver behavior in
kk_nowcast(). - Expanded examples, tests, and documentation.
- Submitted to rOpenSci for peer review on 2025-05-28.