tidypredict: Run Predictions Inside the Database

It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm() and randomForest() models.

Version: 0.1.0
Depends: R (≥ 3.1), dplyr (≥ 0.7), rlang, purrr, tibble, tidyr
Suggests: dbplyr, testthat, randomForest, knitr, rmarkdown, nycflights13, RSQLite, methods, DBI
Published: 2018-01-17
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar at rstudio.com>
BugReports: https://github.com/edgararuiz/tidypredict/issues
License: GPL-3
URL: http://tidypredict.netlify.com/
NeedsCompilation: no
Materials: README
CRAN checks: tidypredict results


Reference manual: tidypredict.pdf
Vignettes: lm
Package source: tidypredict_0.1.0.tar.gz
Windows binaries: r-devel: tidypredict_0.1.0.zip, r-release: tidypredict_0.1.0.zip, r-oldrel: tidypredict_0.1.0.zip
OS X El Capitan binaries: r-release: tidypredict_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: not available


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