model_output_binomial: Binary Logistic Regression: Model Output
In alishinski/AutoModel: Automated Hierarchical Multiple Regression with Assumptions Checking
Description
Usage
Arguments
Details
Examples
Description
Binary Logistic Regression: Model Output
Usage
1
model_output_binomial(models, formulas)
Arguments
models
A list of lm model objects. A set of model objects
created by create_model_object.
formulas
A list of model formulas, generated by create_formula_objects.
Details
Creates output for results of hierarchical binary logisitic
regression models.
Examples
1
2
3
4
5
formulas <- create_formula_objects("am", c("hp", "mpg"), c("disp"),
c("drat"))
mtcars_models <- create_model_objects(formulas, data=mtcars,
type="binomial")
model_output_binomial(mtcars_models, formulas)
alishinski/AutoModel documentation built on May 12, 2019, 5:37 a.m.
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Description Usage Arguments Details Examples
Description
Binary Logistic Regression: Model Output
Usage
1 | model_output_binomial(models, formulas)
|
Arguments
models |
A list of |
formulas |
A list of model formulas, generated by |
Details
Creates output for results of hierarchical binary logisitic regression models.
Examples
1 2 3 4 5 | formulas <- create_formula_objects("am", c("hp", "mpg"), c("disp"),
c("drat"))
mtcars_models <- create_model_objects(formulas, data=mtcars,
type="binomial")
model_output_binomial(mtcars_models, formulas)
|
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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