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utsf 1.2.0

• The estimated forecast accuracy per horizon is also computed
• Now it is possible to use only 1 lag with additive or multiplicative transformation, if the features are not transformed.
• Now it is possible to transform only the target (and not the features) with the multiplicative transformation.
• An error is produced if a too large autorregresive lag is used.
• An error is produced in method KNN when k is greater than the size of the training set.
• A warning is produced when the time series is too short to estimate forecast accuracy.

utsf 1.1.0

• Improvements in estimation of forecast accuracy with rolling origin evaluation.
• The way in which preprocessings are specified has changed.
• Method plot.utsf is implemented.
• Linear models (stats::lm) are supported.

utsf 1.0.0

• Initial CRAN submission.

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.