5.0.18

• Add the rolling argument to hybridModel() that can be used when weights = "cv.errors" to control the rolling argument in cvts().
• Add comb as an argument to thiefModel().
• Update accuracy() formals to support changes in the "forecast" package version 8.12.
• Disable longer-running tests on CRAN.
• Faster examples and vignette

4.1.16 [2018-12-19]

• Use forking instead of a socket cluster for parallel execution on UNIX-like systems for cvts(). This results in significantly faster execution and less memory usage, particularly when the FUN and FCFUN functions are very quick (e.g. snaive(), rwf(), stlm()), the time series is short, few cores are used, or few CV folds run.
• Faster cvts() examples.
• More tests for cvts().
• Fix spelling errors.

3.0.13 [2018-07-22]

v3.0.13

1.0.8 [2017-07-10]

update date

0.4.0 [2017-03-31]

release 0.4.0

0.3.0 [2016-12-18]

version bump

0.2.0 [2016-09-23]

add time series cross validation

0.1.7 [2016-06-04]

date update

0.1.6 [2016-05-31]

Update plot.hybridModel.Rd

First CRAN Release

0.1.5

fix broken accuracy method