create_model_objects: Hierarchical Regression Model Generation
In alishinski/AutoModel: Automated Hierarchical Multiple Regression with Assumptions Checking
Description
Usage
Arguments
Value
Examples
Description
Hierarchical Regression Model Generation
Usage
1
create_model_objects(formulas, dataset, type = "gaussian")
Arguments
formulas
A set of lm formulas, created with
create_formula_objects
dataset
A data frame containing variables refered to in
formulas, passed to data argument of lm
type
Family argument to pass to glm. Specify "binomial" for
binary logistic regression models.
Value
A list of lm model objects
Examples
1
2
3
4
5
create_model_objects(create_formula_objects("y", c("lag.quarterly.revenue")
, c("price.index")), dataset = freeny)
freeny_model_formulas <- create_formula_objects("y", c("lag.quarterly.revenue")
, c("price.index"))
create_model_objects(freeny_model_formulas, dataset = freeny)
alishinski/AutoModel documentation built on May 12, 2019, 5:37 a.m.
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Description Usage Arguments Value Examples
Description
Hierarchical Regression Model Generation
Usage
1 | create_model_objects(formulas, dataset, type = "gaussian")
|
Arguments
formulas |
A set of |
dataset |
A data frame containing variables refered to in
|
type |
Family argument to pass to |
Value
A list of lm model objects
Examples
1 2 3 4 5 | create_model_objects(create_formula_objects("y", c("lag.quarterly.revenue")
, c("price.index")), dataset = freeny)
freeny_model_formulas <- create_formula_objects("y", c("lag.quarterly.revenue")
, c("price.index"))
create_model_objects(freeny_model_formulas, dataset = freeny)
|
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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