18.Time series01.Association - sporedata/researchdesigneR GitHub Wiki

1. Use cases: in which situations should I use this method?

2. Input: what kind of data does the method require?

3. Algorithm: how does the method work?

Model mechanics

Time series analysis is used for datasets consisting of a series of data points displayed over time.

Reporting guidelines

Data science packages

  • CausalImpact estimates the cause-effect of an intervention on a time series exactly how it is [1].

Suggested companion methods

Learning materials

  1. Books

  2. Articles

4. Output: how do I interpret this method's results?

Mock conclusions or most frequent format for conclusions reached at the end of a typical analysis.

Tables, plots, and their interpretation

5. SporeData-specific

Templates

Data science functions

References

[1] Brodersen KH, Gallusser F, Koehler J, Remy N, Scott SL. Inferring Causal Effects using Bayesian Structural Time-Series Models. The Annals of Applied Statistics. 2015;9(1):247-274.

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