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modelc
View on CRAN: Click
here
Download and install modelc package within the R console
Install from CRAN:
install.packages("modelc")
Install from Github:
library("remotes")
install_github("cran/modelc") Install by package version:
library("remotes")
install_version("modelc", "1.0.0.0") Attach the package and use:
library("modelc")
Maintained by
Hugo Saavedra
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First Published: 2020-06-28
Latest Update: 2020-06-28
Description:
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) and originating in Nelder & Wedderburn (1972) . 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.
How to cite:
Hugo Saavedra (2020). modelc: A Linear Model to 'SQL' Compiler. R package version 1.0.0.0, https://cran.r-project.org/web/packages/modelc. Accessed 07 Mar. 2026.
Previous versions and publish date:
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Complete documentation for modelc
Functions, R codes and Examples using
the modelc R package
Some associated functions: apply_linkinverse . build_additive_term . build_factor_case_statements . build_interaction_term . build_intercept . build_product . extract_level . extract_parameter_coefficient . extract_parameters . get_factor_name . has_parameter . is_factor . is_interaction . is_intercept . modelc .
Some associated R codes: Full modelc package functions and examples
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