The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.