Description: Functions and example datasets for Fechnerian scaling of discrete
object sets.  User can compute Fechnerian distances among objects representing
subjective dissimilarities, and other related information.  See
person("Thomas", "Kiefer", role = c("aut", "trl"),
comment = "Based on original MATLAB source by Ehtibar N. Dzhafarov."))
Author: Ali Uenlue [aut, cre], Thomas Kiefer [aut, trl]
(Based on original MATLAB source by Ehtibar N. Dzhafarov.)

c(person("Licheng", "Liu", ,"liulch@mit.edu", role = c("aut")),
person("Ziyi", "Liu", ,"zyliu2020@uchicago.edu", role = c("aut", "cre")),
person("Ye", "Wang", , "yezhehuzhi@gmail.com", role = c("aut")),
person("Yiqing", "Xu", ,"yiqingxu@stanford.edu", role = c("aut"),
Description: Estimates causal effects with panel data using the counterfactual methods. It is suitable for panel or time-series cross-sectional analysis with binary treatments under (hypothetically) baseline randomization.It allows a treatment to switch on and off and limited carryover effects. It supports linear factor models, a generalization of gsynth and the matrix completion method. Implementation details can be found in Liu, Wang and Xu (2022) <arXiv:2107.00856>.
MASS, gridExtra, grid, fixest, doRNG, future, panelView,

Title: Client package for the U.S. Federal Register API
Description: Access data from the Federal Register API

Title: Client Package for the U.S. Federal Register API
Description: Access data from the Federal Register API <https://www.federalregister.gov/developers/api/v1>.

Title: Fast, Flexible, and User-Friendly Record Linkage Methods
Authors@R: c(person("Melanie", "Friedrichs", email = "melanie.r.friedrichs@gmail.com", role = c("aut")),
person("Chris", "Webster", email = "chris0webster@gmail.com", role = c("aut", "cre")),
person("Blake", "Marsh", email = "blake.marsh@kc.frb.org", role = c("aut")),
person("Jacob", "Dice", email = "Jacob.Dice@kc.frb.org", role = c("aut")),
person("Seung", "Lee", email = "seung.j.lee@frb.gov", role = c("aut")))
Description: Provides a flexible set of tools for matching two un-linked data sets.
'fedmatch' allows for three ways to match data: exact matches, fuzzy matches, and multi-variable matches.
It also allows an easy combination of these three matches via the tier matching function.
Imports: stringdist, SnowballC, gtools, stringr, purrr, Rcpp, parallel,