Description Usage Arguments Value
View source: R/ConstrainedGlm.R
Constrained logistic regression In this function we create a regression for which the predicted probabilities are contstrained. That is, they can not be less than a minimum of delta, or a maxiumum of 1 - delta.
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formula |
the formula to use for the regression |
delta |
the threshold used for constraining the probabilities |
data |
the data to train the glm on |
fall_back_to_glm |
boolean should we fall back to traditional glm |
previous_glm |
glm object. A previously trained GLM instance, so it can be updated |
... |
the other arguments passed to GLM |
a fitted glm
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