LoTTA
0.1.1Bayesian Inference in Regression Discontinuity Designs
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Overview
About
Implementation of the LoTTA (Local Trimmed Taylor Approximation) model described in "Bayesian Regression Discontinuity Design with Unknown Cutoff" by Kowalska, van de Wiel, van der Pas (2024) doi:10.48550/arXiv.2406.11585.
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Documentation · exports
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Check history
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
- 100%
- Documented parameters
- 84%
- Return-value docs
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- References docs
- 0%
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Dependencies
Declared dependencies
4 external dependencies (excludes base and recommended)
Imports (3)
statsbayestestRutils
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Code & Tests
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Package Timeline
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest
- 0.1.02025-07-11
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2025-07-11
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.4.0
- Download size
- 31 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet