Title: Retrieve the Dictionary Definitions of English Words
person("Steve", "Condylios", , "steve.condylios@gmail.com", c("aut", "cre"),
Description: An R interface to the 'Free Dictionary API'
dictionary definitions for English words, as well
as additional information including phonetics, part of speech, origins,
audio pronunciation, example usage, synonyms and antonyms, returned in
Author: Steve Condylios [aut, cre] (<https://orcid.org/0000-0003-0599-844X>),

Description: Efficient object-oriented R6 dictionary capable of holding objects of any class, including R6. Typed and untyped dictionaries are provided as well as the 'usual' dictionary methods that are available in other OOP languages, for example listing keys, items, values, and methods to get/set these.
Packaged: 2021-07-24 16:24:38 UTC; raphaelsonabend

Packaged: 2021-09-12 21:47:55 UTC; raphaelsonabend

Title: Treatment Effects with Multiple Periods and Groups
Authors@R: c(person("Brantly", "Callaway", email = "brantly.callaway@temple.edu", role = c("aut", "cre")), person("Pedro H.C.", "Sant\'Anna", email="pedro.h.santanna@vanderbilt.edu", role = c("aut")))
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group.  Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time.  This package contains tools for computing average treatment effect parameters in Difference in Differences models with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2018) <https://ssrn.com/abstract=3148250>.  The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time.  These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these.  There are also functions for testing the Difference in Differences assumption, and plotting group-time average treatment effects.
Imports: BMisc, MASS, formula.tools, pbapply, stats, ggplot2, knitr,