Changes in version 0.1.4 (2019-03-17)                  

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.

                 Changes in version 0.1.3 (2018-04-29)                  

This version includes:

  - Improved tests, including fixes needed after an upgrade to glmnet.

                 Changes in version 0.1.2 (2017-06-26)                  

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.

                 Changes in version 0.1.1 (2017-01-07)                  

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.

                 Changes in version 0.1.0 (2016-12-11)                  

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).