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Applied forecasting

“smooth” package for R. es() function. Part III. Multiplicative models

2016-11-182019-07-31 Leave a comment

Theoretical stuff Last time we talked about pure additive models, today I want to discuss multiplicative ones. There is a general scepticism about pure multiplicative exponential smoothing models in the forecasters society, because it is not clear why level, trend, seasonality and error term should be multiplied. Well, when it comes to seasonality, then there […]

“smooth” package for R. es() function. Part II. Pure additive models

2016-11-022019-07-31 Leave a comment

A bit of statistics As mentioned in the previous post, all the details of models underlying functions of “smooth” package can be found in extensive documentation. Here I want to discuss several basic, important aspects of statistical model underlying es() and how it is implementated in R. Today we will have a look at basic […]

“smooth” package for R. es() function. Part I

2016-10-142019-07-31 Leave a comment

Good news, everyone! “smooth” package is now available on CRAN. And it is time to look into what this package can do and why it is needed at all. The package itself contains some documentation that you can use as a starting point. For example, there are vignettes, which show included functions and what they […]

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