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 form https://CRAN.R-project.org/package=LoTTA to link to this page.