View source: R/ModelPredictionModel.R
Create a model fit list
1 2 | create_fit_object(model.fit, model_alg, fitfunname, params, coef, nobs,
model_contrl, fitclass = "H2Omodel", ...)
|
model.fit |
Model fit object |
model_alg |
Name of the model algorithm |
fitfunname |
The name of the main function used for fitting (e.g., "glm") |
params |
List of main model parameters |
coef |
Fitted glm coefficients, if used |
nobs |
Number of observations used for fitting the model |
model_contrl |
Full list of model control parameters used |
fitclass |
The name of the R6 object class used for fitting |
... |
Additional objects that will be included in the final fit list |
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