get_formulas: Regression Tree Formula
In GMELab/GraBLD: Gradient Boosted and LD adjusted
Description
Usage
Arguments
Value
Examples
Description
The function generates the formula to be used in regression trees model.
Usage
1
get_formulas(name, var_names)
Arguments
name
a character to indicate the regression coefficients from which complex trait.
It should match the trait name used in the other analyses.
var_names
the names of the variables to be included.
Value
a formula specifying the response variable (univariate regression coefficients from target population)
and the predictors are used to tune the weights in boosted regression trees model.
Examples
1
2
3
4
data(annotation_data)
var_names <- colnames(annotation_data)
formulas = get_formulas(name = 'BMI', var_names = var_names[2:5])
print(formulas)
GMELab/GraBLD documentation built on May 4, 2019, 3:20 p.m.
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Description Usage Arguments Value Examples
Description
The function generates the formula to be used in regression trees model.
Usage
1 | get_formulas(name, var_names)
|
Arguments
name |
a character to indicate the regression coefficients from which complex trait. It should match the trait name used in the other analyses. |
var_names |
the names of the variables to be included. |
Value
a formula specifying the response variable (univariate regression coefficients from target population) and the predictors are used to tune the weights in boosted regression trees model.
Examples
1 2 3 4 | data(annotation_data)
var_names <- colnames(annotation_data)
formulas = get_formulas(name = 'BMI', var_names = var_names[2:5])
print(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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