r_squared: Return actual R² for any model type, e.g. classic LMs as well...
In benetheking/maRketingscience: functions for an integrated linear MMM workflow
r_squared R Documentation
Return actual R² for any model type, e.g. classic LMs as well as GAMs or Boosted Tree models.
Description
This function returns a calculation of the R² of your model based on the squared correlation between actual and predicted values. This is much more stable than the classic lm() function of S and R, which fails already when you delete the intercept.
Usage
r_squared(model = model1)
Arguments
model
Input data. Just name the model you want to have the R² calculated for. Defaults to maRketingscience's "model1".
Examples
r_squared(model)
r_squared()
benetheking/maRketingscience documentation built on May 17, 2022, 5:57 a.m.
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| r_squared | R Documentation |
Return actual R² for any model type, e.g. classic LMs as well as GAMs or Boosted Tree models.
Description
This function returns a calculation of the R² of your model based on the squared correlation between actual and predicted values. This is much more stable than the classic lm() function of S and R, which fails already when you delete the intercept.
Usage
r_squared(model = model1)
Arguments
model |
Input data. Just name the model you want to have the R² calculated for. Defaults to maRketingscience's "model1". |
Examples
r_squared(model) r_squared()
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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