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 rstudio.com> |
| BugReports: | https://github.com/tidymodels/modeldb/issues |
| License: | GPL-3 |
| URL: | 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_0.2.2.tar.gz |
| Windows binaries: | r-devel: modeldb_0.2.2.zip, r-release: modeldb_0.2.2.zip, r-oldrel: modeldb_0.2.2.zip |
| macOS binaries: | r-release: modeldb_0.2.2.tgz, r-oldrel: modeldb_0.2.2.tgz |
| Old sources: | modeldb archive |
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