best_model: "Best Model" Procedure, OLS Subset Selection
In davidwig/csm: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
This function fits an OLS model that optimizes BIC or AIC
based on provided data.
Usage
1
best_model(y, x, crit = "BIC", quick = FALSE)
Arguments
y
A one-dimensional dataframe with the desired dependent variable
x
A multi-dimensional dataframe with desired indepdent variables to be considered
crit
Which criterion should the model optimize?
quick
If TRUE, uses exhaustive search. If FALSE, uses stepwise search.
Value
An lm object of the "best model"
davidwig/csm documentation built on Dec. 19, 2021, 9:09 p.m.
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Description Usage Arguments Value
Description
This function fits an OLS model that optimizes BIC or AIC based on provided data.
Usage
1 | best_model(y, x, crit = "BIC", quick = FALSE)
|
Arguments
y |
A one-dimensional dataframe with the desired dependent variable |
x |
A multi-dimensional dataframe with desired indepdent variables to be considered |
crit |
Which criterion should the model optimize? |
quick |
If TRUE, uses exhaustive search. If FALSE, uses stepwise search. |
Value
An lm object of the "best model"
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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