sm_tidy_glmnet: Create a data frame of elastic net coefficents
In statsmaths/smodels: Consistent format for fitting models
Description
Create a data frame of elastic net coefficents
Usage
1
sm_tidy_glmnet(X, y, item_name = "var", binomial = FALSE)
Arguments
X
the data matrix, possibly sparse
y
the response vector
item_name
name to give to the set of rows; defaults to "var"
binomial
logical; is this a binomial regression?
statsmaths/smodels documentation built on Jan. 9, 2021, 1:07 p.m.
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Description
Create a data frame of elastic net coefficents
Usage
1 | sm_tidy_glmnet(X, y, item_name = "var", binomial = FALSE)
|
Arguments
X |
the data matrix, possibly sparse |
y |
the response vector |
item_name |
name to give to the set of rows; defaults to "var" |
binomial |
logical; is this a binomial regression? |
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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