View source: R/glmnet_deprecated.R
CalcGlmnet | R Documentation |
Calculate penalized linear regression with glmnet
CalcGlmnet(design.matrix, metadata, y, alpha, lambda.use, family, ctrl = NULL)
design.matrix |
Design matrix for regression |
metadata |
Additional covariates to take into account (will not be permuted) |
y |
Linear model response |
alpha |
Elasticnet ratio: (0 is fully L2, 1 fully is L1) |
lambda.use |
Coefficient regularization parameter |
family |
Regression family to use |
ctrl |
Control variable in the design matrix (optional) |
Matrix of regression coefficients
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