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This post and a project I'm working on for generating many forecasts in an automated manner has me thinking about selecting between ets(), auto.arima(), and tbats() models in an automated manner and p…
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This will be immensely useful in situations where there are so many different data entities and we need to try to find the best parameters based on a given set rather than assuming we know the paramet…
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Just putting this as an issue while cleaning the comment out of the code
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write as_matrix, or whatever, in converters to do it
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- [x] In `mada-0.3.zip` there are 3 font files in OTF and TTF:
- mada-black.otf
- mada-medium.otf
- mada-thin.otf
These should have the filenames
- Mada-Black.otf
- Mada-Regular.otf
- Mada-Thin.otf…
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I'm getting this error (lagstobetaken=3,multfactor is varied from 1/1000 to 1000 as per Rob's advice to keep the error at bay, but of no avail. All the series used here are log differenced series (lik…
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I have a subset of a pandas dataframe that contains a time series I want to analyze with an AR or ARIMA model using statsmodel:
```
data_sci = H_Clinton_social_vector.Florida
```
The data looks like…
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I got a strange error when using predict on some models generated with`auto.arima`. E.g., for some shortened versions of `AirPassengers`
``` r
library(forecast)
# this works fine, predict and forec…
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Hi Rob,
I'm getting an error when I try to run the "accuracy" function for a weekly forecast.
I followed your suggestions (on http://robjhyndman.com/hyndsight/forecasting-weekly-data/) and set the f…
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Wish you would not mind me asking questions here. I am a bit confused of the `Arima()` and `auto.arima()`.
I have an irregular time series (unit is day) stored in a `zoo` object. It is irregular beca…