Comments (3)
dashaub
commented on August 21, 2024
@ellisp Thoughts on a soft depreciation of this? We can remove this from the choice of options provided in the documentation (i.e. weights = c("equal", "cv.errors")) but still preserve the in-sample behavior if called.
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ellisp
commented on August 21, 2024
Yes, I think we should do it that way, with a warning message too. I was going to do this after the thetaf work gets merged, but happy for you to do it earlier.
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dashaub
commented on August 21, 2024
fixed here a50817a.
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Related Issues (20)
- Something wrong when I run the function of "hybridModel" HOT 4
- forecastHybrid CRAN update needed HOT 1
- Using forecastHybrid with hts HOT 3
- debug cvts refactor
- unclear forecast value for R timeseries HOT 4
- ts object not recognised in hybridModel of forecastHybrid package HOT 9
- Error with cvts example HOT 2
- Forecast using new ts data and an existing (ie previously fit) model HOT 1
- ExtractForecasts HOT 2
- add snaive model
- Matrix of weights HOT 2
- libcudart version HOT 2
- Error with two regressors HOT 7
- Forecast reconciliation HOT 2
- Restrict to a single core HOT 4
- Adding ARFIMA models.
- Computation of residuals HOT 1
- CV of an hybrid model with xreg.
- Idea: Add Facebook's Pophet model
- CV ggplot2::economics HOT 1
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