clean_model: Clean up logistic regression model
In NHS-NSS-transforming-publications/hsmr: Reproducible Analytical Pipeline of Hospital Standardised Mortality Ratios Quarterly Publication
clean_model R Documentation
Clean up logistic regression model
Description
Strips logistic regression model object of extraneous data that
are not required in order to calculate the probability of death within
30 days of admission. This is a necessary step as the object will likely be
quite large and take up significant amounts of memory when producing the
probabilities.
Usage
clean_model(model)
Arguments
model
Input glm.
Details
clean_model expects an object of class glm.
NHS-NSS-transforming-publications/hsmr documentation built on June 30, 2024, 11:48 a.m.
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| clean_model | R Documentation |
Clean up logistic regression model
Description
Strips logistic regression model object of extraneous data that are not required in order to calculate the probability of death within 30 days of admission. This is a necessary step as the object will likely be quite large and take up significant amounts of memory when producing the probabilities.
Usage
clean_model(model)
Arguments
model |
Input |
Details
clean_model expects an object of class glm.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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