Review the referenced Python PR #2186 to understand the optimization for uncertainty predictions. Then identify the corresponding R code in the Prophet R package, likely in files like `src/prophet.R` or similar. Port the logic, ensuring compatibility with R's vectorized operations. There are no comments or maintainer responses yet, so the approach is straightforward based on the existing PR.
Tech stack
pythonr
Domain
dataperformance
Issue type
Performance
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
RProphet library
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50
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