Suggests: knitr, reactable, rmarkdown, sparklyr, testthat (>= 3.0.0)

Title: Financial Data from U.S. Securities and Exchange Commission
Description: Download and display company financial data from the U.S. Securities
and Exchange Commission's EDGAR database. It contains a suite of functions with
web scraping and XBRL parsing capabilities that allows users to extract data from EDGAR
in an automated and scalable manner. See <https://www.sec.gov/edgar/searchedgar/companysearch.html>
Imports: xml2, dplyr, RCurl, rvest, XBRL

Imports: xml2, dplyr, httr, rvest, XBRL, curl

Packaged: 2021-11-29 07:38:13 UTC; sewardlee

Packaged: 2022-01-17 07:25:41 UTC; sewardlee

Title: Access to Average Purchase Price of Vehicles in Brazil
Authors@R: person("Italo", "Cegatta", email = "italocegatta@gmail.com", role = c("aut", "cre"))
Description: The Brazilian vehicle purchase pricing table is provided by
the Institute of Economic Research Foundation (Fipe) and used in purchase
negotiations according to region, vehicle’s conservation, color, accessories
or any other factor that might influence the demand and supply for a specific
vehicle. For more on the data themselves and web access, please see
Imports: httr, jsonlite, dplyr, tibble, lubridate, tidyr, stringr,
readr, magrittr, purrr, furrr, forcats, future

Title: Lightweight Federal Information Processing System (FIPS) Code
Description: Provides a lightweight suite
Suggests: testthat (>= 3.0.0), mockery (>= 0.4.2), sfheaders, covr
Author: Justin Singh-Mohudpur [aut, cre]

person(given = "Urban Flooding Open Knowledge Network (UF-OKN)",
Suggests: testthat (>= 3.0.0), mockery (>= 0.4.2), covr, fastmatch (>=
Urban Flooding Open Knowledge Network (UF-OKN) [fnd]

Title: Induced Priors in Bayesian Mixture Models
c(person(given = "Jan", family = "Greve", role = c("aut", "cre"),
person(given = "Bettina", family = "Grün", role = "ctb",
person(given = "Gertraud", family = "Malsiner-Walli", role = "ctb",
person(given = "Sylvia", family = "Frühwirth-Schnatter", role = "ctb",
Description: Computes implicitly induced quantities from prior/hyperparameter
specifications of three Mixtures of Finite Mixtures models: Dirichlet
Process Mixtures (DPMs; Escobar and West (1995)
(Static MFMs; Miller and Harrison (2018)
Mixtures (Dynamic MFMs; Frühwirth-Schnatter, Malsiner-Walli and Grün (2020)
<arXiv:2005.09918>). For methodological details, please refer to
Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2020)
<arXiv:2012.12337>) as well as the package vignette.