modeldb: Fits Models Inside the Database

Uses 'dplyr' and 'tidyeval' to fit statistical models inside the database. It currently supports KMeans and linear regression models.

Version: 0.2.2
Depends: R (≥ 3.1)
Imports: dplyr (≥ 0.7), rlang, purrr, tibble, progress, ggplot2, tidypredict
Suggests: dbplyr, testthat (≥ 2.1.0), knitr, rmarkdown, nycflights13, RSQLite, methods, DBI, covr
Published: 2020-02-10
Author: Max Kuhn [aut, cre]
Maintainer: Max Kuhn <max at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: modeldb results


Reference manual: modeldb.pdf
Vignettes: K Means models
Linear regression models
Package source: modeldb_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: modeldb_0.2.2.tgz, r-oldrel: modeldb_0.2.2.tgz
Old sources: modeldb archive


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