farr: Data and Code for Empirical Research in Accounting

Data sets and functions for empirical accounting research, including event-return calculations, panel-data simulations, classification performance measures, and 'Parquet' file workflows using 'DuckDB'. Supports methods described in "Empirical Research in Accounting: Tools and Methods" (2024) <doi:10.1201/9781003456230>. The online companion is available at <https://iangow.github.io/far_book/>.

Version:	1.1.0
Depends:	R (≥ 3.5.0)
Imports:	dbplyr (≥ 2.2.0), dplyr, magrittr, rlang, tidyr, tibble, readr, stringr, DBI, lubridate, rpart
Suggests:	RPostgres, duckdb, knitr, pkgdown, quarto, rmarkdown, testthat (≥ 3.0.0), spelling
Published:	2026-10-16
DOI:	10.32614/CRAN.package.farr
Author:	Ian Gow [aut, cre]
Maintainer:	Ian Gow <iandgow at gmail.com>
BugReports:	https://github.com/iangow/farr/issues
License:	MIT + file LICENSE
URL:	https://github.com/iangow/farr, https://iangow.github.io/farr/
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	farr results

Documentation:

Reference manual:

farr.html , farr.pdf

Downloads:

Package source:	farr_1.1.0.tar.gz
Windows binaries:	r-devel: farr_1.0.1.zip, r-release: farr_1.0.1.zip, r-oldrel: farr_1.0.1.zip
macOS binaries:	r-release (arm64): farr_1.1.0.tgz, r-oldrel (arm64): farr_1.1.0.tgz, r-release (x86_64): farr_1.1.0.tgz, r-oldrel (x86_64): farr_1.1.0.tgz
Old sources:	farr archive

Linking:

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