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sqlscore 0.1.4
This version includes:
- Compatibility with the new version 1.4.0 of dbplyr. Documentation
also clarifies the possibility of passing
dbplyr::simulate_* objects for offline generation of
different SQL dialects.
sqlscore 0.1.3
This version includes:
- Improved tests, including fixes needed after an upgrade to
glmnet.
sqlscore 0.1.2
This version includes:
- Support for the recent refactor of dplyr into dplyr and dbplyr.
- Support for the new Binomial_glm type of object in mboost.
sqlscore 0.1.1
This version includes:
- Support for cauchit links in glm objects.
- Support for non-Gaussian families in glmboost, specifically:
binomial (logit and probit), Poisson and gamma.
sqlscore 0.1.0
First release.
This version includes:
- Functions to generate CREATE TABLE and SELECT statements from model
objects;
- Functions for generating unevaluated R expressions from model
objects that correspond to
- the model’s linear predictor
- the model’s final prediction expression (the response function of
the linear predictor)
- Support for built-in glm and lm objects, as well as
- bayesglm from package:arm
- cv.glmnet from package:glmnet
- glmboost from package:mboost (only Gaussian models) Except for
glmboost, all link functions that can be represented in SQL are
supported for all packages.
- Using a custom link function by name. This is useful if, e.g., your
database provides probit or tobit functions.
- Support for various formula features (in particular :, I() and
model.matrix-style factor expansion).
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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