dot-fit: Model bag
In rauschenberger/palasso: Paired Lasso Regression
.fit R Documentation
Model bag
Description
Fits all models from the chosen bag.
Usage
.fit(y, x, args)
Arguments
y
response:
vector of length n
x
covariates:
matrix with n rows (samples)
and k * p columns (variables)
args
options for paired lasso:
list of arguments
(output from .dims and .args)
Value
list of glmnet-like objects
Examples
NA
rauschenberger/palasso documentation built on Feb. 18, 2024, 11:02 p.m.
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| .fit | R Documentation |
Model bag
Description
Fits all models from the chosen bag.
Usage
.fit(y, x, args)
Arguments
y |
response:
vector of length |
x |
covariates:
matrix with |
args |
options for paired lasso: list of arguments (output from .dims and .args) |
Value
list of glmnet-like objects
Examples
NA
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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