The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

hts 6.0.3

• Cran maintenance

hts 6.0.2

• Removed dependency on matrixcalc

hts 6.0.1

• Fixed bug in forecast(nonnegative = TRUE) for erroring “object not found”. (#58, @apantovic)

hts 6.0.0

• Added the support for non-negative forecast reconciliation. (@ShanikaLW)
• Officially retired in favour of fable.
• Depended on forecast (>= v8.12) due to the change in accuracy() signature.
• Fixed bug in forecast(weights = "wls") for removing the squared root, as it’s been done in following functions.

hts 5.1.5

• Fixed hts authorship in the DESCRIPTION file
• Updated reference
• Replaced rBind with rbind due to Matrix new release
• Depends on R (>= 3.2.0)

hts 5.1.4

• The hts and gts don’t actually fit into mts, ts and matrix classes, and hence mts, ts and matrix classes are dropped.
• Added helper functions get_nodes for hts and get_groups for gts.
• Fixed forecast(method = "tdfp", h = 1) issue (#32).
• Fixed forecast(FUN = hybridModel) when newxreg is present (#28).

hts 5.1.0

• Earo Wang took over maintenance of the package from Rob J Hyndman.
• Replaced ChangeLog with a NEWS.md file to track changes to the package.
• Used roxygen2 to generate and manage reference. Thanks to Yihui’s Rd2roxygen package for hassle-free conversion.
• Enabled pkgdown support.
• Allowed more control of colour in plot.gts (Thanks to @ellisp for the pull request #25).
• Exported the is.hts and is.gts functions (as per #29).
• Registered accurary as an S3 method from forecast::accuracy.

hts 5.0

• Added mint option in forecast.gts (written by Shanika Wickramasuriya)
• Allowed arbitrary ordering of bottom level time series in hts()
• Added QR decomposition if LU decomposition fails
• Bug fixes

hts 4.5

• Fixed bugs in accuracy.gts().
• Fixed bug in forecast.gts() detecting the right default forecasting horizon.
• Fixed bug in gts() for a gts with one grouping variable.
• Speeded up Smatrix().
• Make SparseM package as dependency.
• Better handle missing values.
• Speeded up combinef() for Alan’s algorithm.
• Added 3 new algorithms to the optimally reconciled approach.
• Fixed bug in forecast.gts() when using external regressors with parallel.
• Fixed time attributes of fitted and residual series.

hts 4.4

• Allowed multiple seasonal objects “msts” in hts() and gts().
• Fixed bug of MASE in accuracy.gts().
• Allowed user’s defined forecasting function in forecast.gts().

hts 4.3

• Fixed bug of the arg “include” in plot.gts, when there are not yearly data.
• Fixed bug in combinef(), when it handles a simple hierarchy with 2 levels.
• Improved arg “characters” in hts() to automate the node structure.
• Added a new arg “characters” in gts(), which will automate the grouping matrix.
• Added a new reference to combinef() man.
• Made ‘sd’ the default weight in forecast.gts().

hts 4.2

• Fixed Next.Generic error in accuracy.gts.
• Adjust weights = sd.

hts 4.1

• Set the default parallel processes to 2.
• Fixed three dots in parallel computing for forecast.gts.
• Speeded up the topdown approaches.

hts 4.0

• Speeded up all existing functions.
• Restructured hts function. Argument g is replaced with nodes. Added bnames and characters to allow custom names.
• Added argument gnames to gts function.
• Argument groups in gts function allows the gmatrix with characters.
• Added function aggts in which users can specify whatever levels they like.
• Renamed Smatrix to smatrix.
• Added summary.gts function.
• Added more arguments to forecast.gts such as keep.fitted, keep.resid, lambda, weights.
• When setting method = “mo” in forecasts.gts, argument level started with 0 rather than 1.
• Import parallel package in order to support for parallel processing.
• Added more criterions to accuracy.gts function. When keep.fitted = TRUE in forecast.gts function, accuracy.gts can also return in-sample error measures at the bottom level.
• Dropped argument criterions in accuracy.gts function.
• Added argument weights to combinef function. When it’s a hts object, argument nodes is used instead of the summing matrix.
• combinef function returns either a gts object or time series at the bottom level. Dropped arguments return and hierarchical.
• Argument levels in plot.gts function allows more flexibilities.

hts 3.01

• Added the infantgts data
• Added the vignette

hts 3.00

• Restructured gts objects and dropped hts objects. A flag indicates if gts is hierarchical.
• gts objects can now contain forecasts as well as historical data.
• Updated plot.gts function with an option to show historical data as well as forecasts
• Added the window.gts function
• Moved SparseM from Depends to Imports

hts 2.02

• Bug fixes to cope with much bigger hierarchies

hts 2.01

• Changed hierarchical naming convention to allow much bigger hierarchies.

hts 2.0

• Added grouped time series (gts) objects, and re-wrote many functions in order to handle them.
• hts objects are now a subset of gts objects.
• Some old hts methods have been replaced by gts methods.
• Rob J Hyndman took over maintenance of the package from Han Lin Shang

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.