klangner / klangner/timeseries
Prepare example with series decomposition using additive model
Open
- Dominant language
- Haskell
- Stars
- 8
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
Decompose into trend, seasonal, cyclic and random part
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue only specifies an example using additive series decomposition into trend, seasonal, cyclic, and random parts; no file, test, or entry point is named. First locate the repository's existing time-series examples and determine where examples are documented, then confirm the expected presentation and how completion will be checked.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- haskell
- Domain
- data
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100