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utsf 1.3.3

• The param parameter in the regression function provided by the user is changed to a … parameter.
• Extreme gradient boosting is supported using the xgboost package.

utsf 1.3.2

• The model tree is now built with the parameter committees set to 5
• The param parameter used to set arguments to the regression models in the create_model function is no longer needed, you can set the arguments directly.

utsf 1.3.1

• The pre-processing for dealing with trending series is now specified in a simpler way.
• The vignette has been improved.
• The way in which tuning parameters are specified to user’s models has changed.

utsf 1.3.0

• The lags argument in the function for building the model (now create_model) now can be an unordered integer vector.
• The lags argument in the function for building the model (now create_model) now must be an integer vector.
• match.arg() is used so the options are visible to the user in the help.
  
• A main change is that the functionality of the forecast function, that did a lot of things, is now distributed in several functions: create_model() (build the model), forecast() (do the forecasts), efa() for assessing forecast accuracy and tune_grid() for parameter tuning.
• Prediction intervals are optionally computed.

utsf 1.2.1

• The default value of parameter transform_features in trend function is again TRUE.

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 pre-processings 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.