A Linear Model to 'SQL' Compiler
Wrap the model SQL in the appropriate link function inverse to return ...
Get SQL representing a continuous term in the model with no interactio...
Build SQL CASE statements representing the factors in the model
Build a SQL interaction term
Get SQL representing the intercept term given the R model and paramete...
Build a SQL product
Extract the level from the factor name
Extract the coefficient of a model parameter
Extract parameters from a linear model
Extract the factor name from an R model
Check if an R model contains a coefficient
Detect if the given model term is a factor
Detect if the given model term is an interaction
Check if the given parameter is the intercept
Compile an R model to a valid TSQL formula
This is a cross-platform linear model to 'SQL' compiler. It generates 'SQL' from linear and generalized linear models. Its interface consists of a single function, modelc(), which takes the output of lm() or glm() functions (or any object which has the same signature) and outputs a 'SQL' character vector representing the predictions on the scale of the response variable as described in Dunn & Smith (2018) <doi:10.1007/978-1-4419-0118-7> and originating in Nelder & Wedderburn (1972) <doi:10.2307/2344614>. The resultant 'SQL' can be included in a 'SELECT' statement and returns output similar to that of the glm.predict() or lm.predict() predictions, assuming numeric types are represented in the database using sufficient precision. Currently log and identity link functions are supported.