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disaggR 1.0.5.4
- Compatibility with ggplot 3.5.0 : Removed the “scale_name” argumentwithin scales that is now deprecated, new test snapshots (PR #102).
- In order to be back on the CRAN, the tests for the cach are now donewith “all.equal” instead of identical. Hence it doesn’t fail on someimplementation of BLAS (PR #105).
disaggR 1.0.5.2
- Nothing changed besides the maintener.
disaggR 1.0.5.1
- Internal change to check package version with character instead ofnumeric.
- Internal minor change to in_disaggr (incohesive parameters)
- A more informative error message if one tries to differentiate atime-series with only one observation
- A more informative error message if the rank becomes imperfect afterdecorrelation
disaggR 1.0.5
- Breaking change : The order of the output of the
reViewOutput object has been reversed. reView and rePortcan now take a language object as name arguments and return languageobjects inside their name attributes (PR #86) - The
print method digit argument is now passed toeverything below. The default value isgetOption("digits")for the benchmarks andmax(3L, getOption("digits")) for thepraislm objects.
disaggR 1.0.4.1
- Internal change from ggplot2 size argument, which is deprecated forlines, to linewidth (PR #78)
disaggR 1.0.4
- Added the arguments
hfserie_name andlfserie_name for rePort, as for reView. (PR #70) - Added a vignette describing the use of outliers. (PR #74)
reView no longer throws the message “This Font Awesomeicon (‘info-circle’) does not exist”.
disaggR 1.0.3
- Added the signature
c("disaggR","missing") for Opsgroup generic. (PR #54) - Inner calls to aggregate are now redirected to a faster non-exportedfunction. (PR #55)
- Estimation spans and outliers are now handled in preset models inrePort and reView (PR #57)
- NULL labels are now removed even outside the plot margins (PR#59)
- The
in_scatter function now substracts the outlierscontributions from the low-frequency serie before computing thein_scatter comparison. (PR #63) - The
in_scatter has now an additional arguments :type (as every in_ function). For now, the only use for thetype argument is to allow changes scatterplots for levels models. (PR#63) - The smoothed.part, for differencied benchmarks, has been set to anew base (its aggregated value is 0 in 2000). That way,
reUseBenchmark is fixed if used on high-frequency seriesthat have a different start than the previous one. This has no impact onthe benchmarked serie. (PR #65)
disaggR 1.0.2
- New vignette : Introduction to disaggR.
- The error of
in_disaggR for wrongtypearguments has been changed, because it didn’t include“contributions”. cex.axis,xlim,ylim,cex.lab andcex.main parameters now overwritetheir default if used insideplot(...) dots.- By default, in the
plot andautoplotmethods, the axis annotations are now automatically set to be smaller ifneeded.
disaggR 1.0.1
- Switched ggplot2, rmarkdown and shiny from imports to suggests.RColorBrewer has replaced scales as an import. disaggR can now beinstalled with far less dependencies. Hence, the
autoplotgeneric is not reexported anymore. ggplot2 has to be attached to allowthe use ofautoplot without theggplot2::prefix, by example withlibrary(ggplot2).
disaggR 1.0.0
- added support of outliers.
- In
twoStepsBenchmark, the set.coeff names used to bereplaced by"hfserie" ifNCOL(hfserie) == 1Landlength(set.coeff) == 1L. This behavior wascontradictory with the documentation ifset.coeff=c(constant=1L). As for now, set.coeff names willnever be replaced. Then, it makes the controls stricter becauseset.coeff=c(x.name.herited.from.anywhere=1) will lead to anerror. - as for the
in time-series plots, the y window nowignores the infinite values.
disaggR 0.2.1
- fixed some issues with ts.eps-delayed tsps.
disaggR 0.2.0
- reView : a shiny reviewing application for twoStepsBenchmarks.
- rePort : a rmarkdown html report for twoStepsBenchmark and reViewoutputs.
- start.domain and end.domain know crops the hfserieafterhaving calculated the coefficients. That way, it is possible to evaluatethe coefficients on a full hfserie, cropping them for theapplication.
in_sample now generates a more general class"tscomparison", with a"in_sample" funcattribute. In previous versions, the S3 class was named “insample”.- the new functions
in_scatter,in_benchmarkandin_revisions also produce tscomparisons, with plot andautoplot methods. - the graphics are prettier thanks to the package scales.
- the plot and autoplot methods now have xlab, ylab, start, end, col,lty, show.legend, main and mar arguments. The autoplot methods have alsoa theme argument.
- removed the c++ code to improve readability.
- most of the stats methods for time-series now coercetwoStepsBenchmarks or rateSmooths into time-series.
reUseBenchmark now induces aset.smoothed.part element in model.list ifreeval.smoothed.part isFALSE.threeRuleSmooth makes it easier than bflSmooth toprocede to a rate smooth.
disaggR 0.1.7
- various optimizations including cache for bflSmooth, which is nowmuch faster, and alternative internal methods for time-series.
- added a weights arg to bflSmooth, that reproduces thelissage entaux methodology.
- the praislm and twoStepsBenchmark summaries now print somedisclaimer to tell if the regression includes a differenciation.
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