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## Proposal
Typically, interrupted time series (ITS) designs are univariate in that there is a single outcome variable. An existing example in the docs examines the causal impact of the onset of covi…
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## Project Robyn
## Describe issue
The prophet decomposition factors are used to debias marketing channel effect. But due to the marketing channel itself follows DAU trend and seasonality or other…
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- [ ] QC review of calcTotWSS
- [x] Write up of legend meanings
- [x] List of canned station vectors
- [x] combinations of variable transformations & centering
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Every player who crafts the "Overworld Portal" and visits the `ntc_dimension` dimension will see the *exact* same terrain (starting in the middle of a Seasonal Orchard biome). Looking at the data pack…
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Is there a way to show Pollen count on wttr? Either via a flag or on the main url? I've not been able to find one in the docs or code so this may well be a feature request.
Pollen counts are usefu…
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In this session i will introduce audience to the concept of forecasting and live code demo for forecasting and showcase time series example that have strong seasonal effects and several seasons of his…
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When we first created the git-collection capability, we gathered some basic info about contributors (number of commits, times of commits.)
We can look deeper now and look at other metrics, such as:
…
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For my dataset, I am trying to use the time an event occurred as a regressor term. Lets say I have a dataset of people who rent bikes. I'm trying to forecast how many people will rent a bike.
If …
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For STL, is there a way to retrieve the used window parameter values after fitting the model?
If we use the `str` function,
```R
my_tsibble %>% model(STL(column ~ trend())) %>% str()
```
w…