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.
This version includes:
- Improved tests, including fixes needed after an upgrade to glmnet.
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.
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.
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).