The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdmulti' package provides tools to analyze RD designs with multiple cutoffs or scores: rdmc() estimates pooled and cutoff specific effects for multi-cutoff designs, rdmcplot() draws RD plots for multi-cutoff designs and rdms() estimates effects in cumulative cutoffs or multi-score designs. See Cattaneo, Titiunik and Vazquez-Bare (2020) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2020_Stata.pdf> for further methodological details.

A wrapper for the 'Deutsche Nationalbibliothek (German National
    Library) API', available at <https://www.dnb.de/EN/Home/home_node.html>. 
    The German National Library is the German central archival library, 
    collecting, archiving, bibliographically classifying all German and 
    German-language publications, foreign publications about Germany, 
    translations of German works, and the works of German-speaking emigrants 
    published abroad between 1933 and 1945.

Test Statistics for Independence in High-Dimensional Datasets. This package consists of two functions to perform the complete independence test based on test statistics proposed by Bulut (unpublished yet) and suggested by Najarzadeh (2021) <doi: 10.1080/03610926.2019.1702699>. The Bulut's statistic is not sensitive to outliers in high-dimensional data, unlike one of Najarzadeh (2021) <doi: 10.1080/03610926.2019.1702699>. So, the Bulut's statistic can be performed robustly by using RDnp function.

Dump source code, documentation and vignettes of an 'R'
    package into a single file. Supports installed packages, tar.gz
    archives, and package source directories. If the package is not
    installed, only its source is automatically downloaded from CRAN for
    processing. The output is a single plain text file or a character
    vector, which is useful to ingest complete package documentation and
    source into a large language model (LLM) or pass it further to other
    tools, such as 'ragnar' <https://github.com/tidyverse/ragnar> to
    create a Retrieval-Augmented Generation (RAG) workflow.