18.Time series03.Forecast - sporedata/researchdesigneR GitHub Wiki

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

When the goal is to make a causal prediction from a time series dataset

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

Time series dataset

3. Algorithm: how does the method work?

Model mechanics

Reporting guidelines

Data science packages

Forecast: Forecasting Functions for Time Series and Linear Models [1].

Suggested companion methods

Learning materials

Books *
Articles
- Time Series Model for Forecasting the Number of New Admission Inpatients
- Time Series Modelling and Forecasting of Emergency Department Overcrowding

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] Hyndman RJ, Athanasopoulos G, Bergmeir C, Caceres G, Chhay L, O'Hara-Wild M, et al. forecast: Forecasting functions for time series and linear models. 2018.

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