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: 0.1.0
Depends: R (≥ 4.4.0), runjags, ggplot2, ggpubr
Imports: stats, bayestestR, utils
Published: 2025-07-11
DOI: 10.32614/CRAN.package.LoTTA
Author: Julia Kowalska ORCID iD [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.pdf

Downloads:

Package source: LoTTA_0.1.0.tar.gz
Windows binaries: r-devel: LoTTA_0.1.0.zip, r-release: LoTTA_0.1.0.zip, r-oldrel: LoTTA_0.1.0.zip
macOS binaries: r-release (arm64): LoTTA_0.1.0.tgz, r-oldrel (arm64): LoTTA_0.1.0.tgz, r-release (x86_64): LoTTA_0.1.0.tgz, r-oldrel (x86_64): LoTTA_0.1.0.tgz

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