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: 0.2.3
Depends: R (≥ 3.1)
Imports: dplyr (≥ 0.7), ggplot2, progress, purrr, rlang, tibble, tidypredict
Suggests: covr, DBI, dbplyr, knitr, methods, nycflights13, rmarkdown, RSQLite, testthat (≥ 2.1.0)
Published: 2022-08-16
Author: Max Kuhn [aut, cre]
Maintainer: Max Kuhn <max at rstudio.com>
BugReports: https://github.com/tidymodels/modeldb/issues
License: MIT + file LICENSE
URL: https://modeldb.tidymodels.org, https://github.com/tidymodels/modeldb
NeedsCompilation: no
Materials: README NEWS
CRAN checks: modeldb results

Documentation:

Reference manual: modeldb.pdf
Vignettes: K Means models
Linear regression models

Downloads:

Package source: modeldb_0.2.3.tar.gz
Windows binaries: r-devel: modeldb_0.2.3.zip, r-release: modeldb_0.2.3.zip, r-oldrel: modeldb_0.2.3.zip
macOS binaries: r-release (arm64): modeldb_0.2.3.tgz, r-oldrel (arm64): modeldb_0.2.3.tgz, r-release (x86_64): modeldb_0.2.3.tgz, r-oldrel (x86_64): modeldb_0.2.3.tgz
Old sources: modeldb archive

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