LoTTA: Bayesian Inference in Regression Discontinuity Designs
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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.4.0),runjags,ggplot2,ggpubr |
| Imports: | stats,bayestestR, utils |
| Published: | 2025-07-22 |
| DOI: | 10.32614/CRAN.package.LoTTA |
| Author: | Julia Kowalska [aut, cre, cph] |
| Maintainer: | Julia Kowalska <j.m.kowalska at vu.nl> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | LoTTA results |
Documentation:
| Reference manual: | LoTTA.html ,LoTTA.pdf |
Downloads:
| Package source: | LoTTA_0.1.1.tar.gz |
| Windows binaries: | r-devel:LoTTA_0.1.1.zip, r-release:LoTTA_0.1.1.zip, r-oldrel:LoTTA_0.1.1.zip |
| macOS binaries: | r-release (arm64):LoTTA_0.1.1.tgz, r-oldrel (arm64):LoTTA_0.1.1.tgz, r-release (x86_64):LoTTA_0.1.1.tgz, r-oldrel (x86_64):LoTTA_0.1.1.tgz |
| Old sources: | LoTTA archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=LoTTAto link to this page.