Homomorphic computations in R for privacy-preserving applications. Currently only
             the Paillier Scheme is implemented.

Implements the Brakerski-Fan-Vercauteren (BFV, 2012) <https://eprint.iacr.org/2012/144>, Brakerski-Gentry-Vaikuntanathan (BGV, 2014) <doi:10.1145/2633600>, and Cheon-Kim-Kim-Song (CKKS, 2016) <https://eprint.iacr.org/2016/421.pdf> schema for Fully Homomorphic Encryption. The included vignettes demonstrate the encryption procedures.

Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.

Input a list of words and/or their phonological 
    transcriptions and this package creates a language network based on their neighborhood 
    structure. First, the phonological/orthographic neighbors for each item in 
    the list are identified based on various definitions of a neighbor (e.g., 
    edit-distance (substitution, deletion, or addition), substitution-only; 
    distance size (1-edit or more); based on single characters or segments indicated 
    by separators) and summarizes this information in an 'igraph' network object 
    for subsequent analyses. For more details see Luce & Pisoni (1998) 
    <doi:10.1097/00003446-199802000-00001> and Vitevitch (2008) 
    <doi:10.1044/1092-4388(2008/030)>. 
    Helper functions for extracting network metrics, 
    neighbors, and other information from the language network are provided. 
    This package is intended for psycholinguists interested in modeling language 
    networks and word neighborhoods in various languages.

A utility to quickly obtain clean and tidy men's
    basketball play by play data. Provides functions to access
    live play by play and box score data from ESPN<https://www.espn.com> with shot locations
    when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper.
    It is also a scraping and aggregating interface for Ken Pomeroy's
    men's college basketball statistics website<https://kenpom.com>. It provides users with an
    active subscription the capability to scrape the website tables and
    analyze the data for themselves.