lasso_max_lambda: Maximum lambda in lasso model
In MFKnockoffs: Model-Free Knockoff Filter for Controlled Variable Selection
Description
Usage
Arguments
Value
Description
Computes the earliest (largest) lambda's for which predictors enter the
lasso model.
Usage
1
2
3
4
5
6
lasso_max_lambda_lars(X, y, ...)
lasso_max_lambda_glmnet(X, y, nlambda = 200, intercept = T,
standardize = T, ...)
lasso_max_lambda(X, y, method = c("glmnet", "lars"), ...)
Arguments
X
matrix of predictors
y
response vector
method
either 'glmnet' or 'lars'
Value
vector of maximum lambda's
MFKnockoffs documentation built on May 2, 2019, 6:33 a.m.
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.
Description Usage Arguments Value
Description
Computes the earliest (largest) lambda's for which predictors enter the lasso model.
Usage
1 2 3 4 5 6 | lasso_max_lambda_lars(X, y, ...)
lasso_max_lambda_glmnet(X, y, nlambda = 200, intercept = T,
standardize = T, ...)
lasso_max_lambda(X, y, method = c("glmnet", "lars"), ...)
|
Arguments
X |
matrix of predictors |
y |
response vector |
method |
either 'glmnet' or 'lars' |
Value
vector of maximum lambda's
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.