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Package: dbreg
Type: Package
Title: Fast Regressions on Database Backends
Version: 0.0.3.99
Date: 2026-03-16
Authors@R:
c(
person(
given = "Grant",
family = "McDermott",
role = c("aut", "cre"),
email = "contact@grantmcdermott.com",
comment = c(ORCID = "0000-0001-7883-8573")
),
person(
given = "James",
famil = "Brand",
email = "jamesbrandecon@gmail.com",
role = c("aut"),
comment = c(ORCID = "0000-0002-1663-5583")
),
person(
given = "Apoorva",
famil = "Lal",
email = "lal.apoorva@gmail.com",
role = c("ctb"),
comment = c(ORCID = "0000-0002-3697-614X")
),
person(
given = "Laurent",
famil = "Berge",
email = "laurent.berge@u-bordeaux.fr",
role = c("ctb")
)
)
Description: Leverages database backends to run regressions on very large
datasets, which may not fit into R's memory. Various acceleration
strategies---e.g., Wong et al. (2021) <doi:10.48550/arXiv.2102.11297> and
Arkhangelsky & Imbens (2024) <https://doi.org/10.1093/restud/rdad089>---allow
for highly efficient computation, while robust standard errors are
computed from sufficient statistics.
Imports:
DBI,
duckdb,
Formula,
generics,
glue,
MASS,
Matrix,
stats,
tinyplot
Suggests:
binsreg,
here,
fixest (>= 0.13.0),
knitr,
quarto,
tinytest
Enhances:
dbplyr
Config/Needs/website: etiennebacher/altdoc
Encoding: UTF-8
License: MIT + file LICENSE
URL: https://grantmcdermott.com/dbreg/
BugReports: https://github.com/grantmcdermott/dbreg/issues
VignetteBuilder: quarto
Config/roxygen2/version: 8.0.0