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