Honest and nearly-optimal confidence intervals in fuzzy and sharp
    regression discontinuity designs and for inference at a point based on local
    linear regression. The implementation is based on Armstrong and Kolesár (2018)
    <doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018)
    <doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.

Provides a client for (1) querying the DHS API for survey indicators
  and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys
  and datasets for analysis, (3) downloading survey datasets from the DHS website,
  (4) loading datasets and associate metadata into R, and (5) extracting variables
  and combining datasets for pooled analysis.

Understanding heterogeneous causal effects based on pretreatment covariates is a crucial step in modern empirical work in data science. Building on the recent developments in Calonico et al (2025) <https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Palomba-Titiunik_2025_HTERD.pdf>, this package provides tools for estimation and inference of heterogeneous treatment effects in Regression Discontinuity (RD) Designs. The package includes two main commands: 'rdhte' to conduct estimation and robust bias-corrected inference for conditional RD treatment effects (given choice of bandwidth parameter); 'rdbwhte', which implements automatic bandwidth selection methods; and 'rdhte_lincom' to test linear combinations of parameters.

Methods for calculation and visualization of the Repertoire
    Dissimilarity Index. Citation: Bolen and Rubelt, et al (2017) 
    <doi:10.1186/s12859-017-1556-5>.

Functions and methods for manipulating 'SNOMED CT'
    concepts. The package contains functions for loading the 'SNOMED CT'
    release into a convenient R environment, selecting 'SNOMED CT'
    concepts using regular expressions, and navigating the 'SNOMED CT'
    ontology. It provides the 'SNOMEDconcept' S3 class for a vector of
    'SNOMED CT' concepts (stored as 64-bit integers) and the
    'SNOMEDcodelist' S3 class for a table of concepts IDs with
    descriptions. The package can be used to construct sets of
    'SNOMED CT' concepts for research (<doi:10.1093/jamia/ocac158>).
    For more information about 'SNOMED CT' visit
    <https://www.snomed.org/>.