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tidypredict  

Run Predictions Inside the Database
View on CRAN: Click here


Download and install tidypredict package within the R console
Install from CRAN:
install.packages("tidypredict")

Install from Github:
library("remotes")
install_github("cran/tidypredict")

Install by package version:
library("remotes")
install_version("tidypredict", "0.5.1")



Attach the package and use:
library("tidypredict")
Maintained by
Emil Hvitfeldt
[Scholar Profile | Author Map]
First Published: 2018-01-17
Latest Update: 2023-01-18
Description:
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(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
How to cite:
Emil Hvitfeldt (2018). tidypredict: Run Predictions Inside the Database. R package version 0.5.1, https://cran.r-project.org/web/packages/tidypredict. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-01-17 17:48), 0.2.0 (2018-02-26 00:00), 0.2.1 (2018-12-20 19:00), 0.3.0 (2019-01-10 08:00), 0.4.0 (2019-07-13 00:30), 0.4.1 (2019-07-15 00:21), 0.4.2 (2019-07-15 17:40), 0.4.3 (2019-09-03 20:40), 0.4.4 (2020-02-09 17:40), 0.4.5 (2020-02-10 22:20), 0.4.6 (2020-07-23 16:20), 0.4.7 (2020-10-05 15:50), 0.4.8 (2020-10-28 07:50), 0.4.9 (2022-05-25 21:20), 0.5 (2023-01-18 09:40)
Other packages that cited tidypredict R package
View tidypredict citation profile
Other R packages that tidypredict depends, imports, suggests or enhances
Complete documentation for tidypredict
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