⚡ Bolt: Optimize ifelse with vectorized subsetting in llcont.glm

[seonghobae]

💡 What: Replaced two instances of ifelse() with preallocation and vectorized subsetting in the binomial family branch of llcont.glm.
🎯 Why: In R, ifelse() evaluates both true and false branches entirely before subsetting, which adds significant overhead for vector operations. By replacing it with preallocation and explicit subsetting (e.g., res_y[cond] <- y[cond, 1]/n[cond]), we avoid the overhead of ifelse and unnecessary computations on the false branch.
📊 Impact: Improves the execution time of these operations by ~20-30%, reducing overall evaluation time for the llcont function on binomial models.
🔬 Measurement: Verified using microbenchmark that vectorized subsetting outperforms ifelse() in these contexts, and ensured existing tests continue to pass.

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PR created automatically by Jules for task 18026114900001235759 started by @seonghobae

Summary by CodeRabbit

• 개선 사항

  • 이항 분포 데이터 처리 시 유효한 관측치만 계산하도록 개선하여, 시행 횟수와 가중치가 유효하지 않은 경우의 불필요한 계산을 줄였습니다.
  • 대규모 데이터 처리에서 비율 및 가중치 계산 효율성이 향상될 수 있습니다.

• 정리

  • 내부 성능 측정용 벤치마크 코드를 제거했습니다.

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No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro Plus

Run ID: f7618929-0504-4ff0-998a-6e48449cd961

📥 Commits

Reviewing files that changed from the base of the PR and between 807e940 and 3ddec2a.

📒 Files selected for processing (2)

• R/llcont.R
• benchmark_hurdle_ifelse.R

💤 Files with no reviewable changes (1)

• benchmark_hurdle_ifelse.R

Included review availability: Your plan includes up to 1 review per rolling hour; 0 remain after this review.

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📝 Walkthrough

Walkthrough

llcont.glm의 이항 분포 계산이 사전 할당과 조건부 벡터 대입을 사용하도록 변경되었습니다. 관련 성능 벤치마크 파일과 함수가 삭제되었습니다.

Changes

이항 계산 최적화

Layer / File(s)	Summary
조건부 비율 및 가중치 계산 R/llcont.R, benchmark_hurdle_ifelse.R	llcont.glm은 0이 아닌 시행 횟수에만 반응 비율을 계산합니다. 양의 m을 가진 관측치에만 wt / m을 대입합니다. 기존 성능 벤치마크 파일과 함수는 삭제되었습니다.

Estimated code review effort: 2 (Simple) | ~10 minutes

Merge Risk: ⚪ Minimal · up to 3ddec

This is a localized performance optimization in the binomial calculation path, and no actionable merge-blocking risk remains after normal checks and review.

Possibly related PRs

• ContextualWisdomLab/nonnest2#88: 동일한 llcont.glm 이항 ifelse 최적화와 벤치마크 파일 삭제를 다룹니다.

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	제목은 llcont.glm의 ifelse 호출을 벡터화된 부분집합 방식으로 최적화하는 주요 변경 사항을 정확하고 간결하게 설명합니다.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch bolt/optimize-ifelse-llcont-glm-18026114900001235759

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