model_summary_table: Hierarchical regression: model summary output
In alishinski/AutoModel: Automated Hierarchical Multiple Regression with Assumptions Checking
Description
Usage
Arguments
Details
Examples
Description
Hierarchical regression: model summary output
Usage
1
model_summary_table(models, formulas)
Arguments
models
A list of lm model objects. A set of model objects
created by create_model_object.
formulas
Formula list produced by create_formula_objects.
Details
Creates table output to summarize model statistics for all models in
a hierarchical regression analysis.
Examples
1
2
3
4
5
freeny_model_formulas <- create_formula_objects("y",
c("lag.quarterly.revenue"), c("price.index"))
freeny_models <- create_model_objects(freeny_model_formulas,
dataset = freeny)
model_summary_table(freeny_models, freeny_model_formulas)
alishinski/AutoModel documentation built on May 12, 2019, 5:37 a.m.
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Description Usage Arguments Details Examples
Description
Hierarchical regression: model summary output
Usage
1 | model_summary_table(models, formulas)
|
Arguments
models |
A list of |
formulas |
Formula list produced by |
Details
Creates table output to summarize model statistics for all models in a hierarchical regression analysis.
Examples
1 2 3 4 5 | freeny_model_formulas <- create_formula_objects("y",
c("lag.quarterly.revenue"), c("price.index"))
freeny_models <- create_model_objects(freeny_model_formulas,
dataset = freeny)
model_summary_table(freeny_models, freeny_model_formulas)
|
R Package Documentation
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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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