corfun: Function for evaluating model fit.
In davidaarmstrong/mldiag: Machine Learning Model Diagnostics
Description
Usage
Arguments
Details
Value
Description
Model fit function for the ml_diag function.
Usage
1
Arguments
y
Dependent variable used in the model.
yhat
Predictions of the dependent variable.
type
Character string giving the type of model used (currently only binomial and gaussian are supported).
Details
Returns either the square correlation between the dependent variable and its
predictions or the expected proportional reduction in error if the model is
a binomial GLM.
Value
A scalar giving the model fit
davidaarmstrong/mldiag documentation built on April 17, 2020, 12:04 a.m.
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Description Usage Arguments Details Value
Description
Model fit function for the ml_diag function.
Usage
1 |
Arguments
y |
Dependent variable used in the model. |
yhat |
Predictions of the dependent variable. |
type |
Character string giving the type of model used (currently only binomial and gaussian are supported). |
Details
Returns either the square correlation between the dependent variable and its predictions or the expected proportional reduction in error if the model is a binomial GLM.
Value
A scalar giving the model fit
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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