R: Helper function to get etas (linear predictions)

get_eta {glmnet} | R Documentation

## Helper function to get etas (linear predictions)

### Description

Given x, coefficients and intercept, return linear predictions. Wrapper that works with both regular and sparse x. Only works for single set of coefficients and intercept.

### Usage

    get_eta(x, beta, a0)

### Arguments

`x` | Input matrix, of dimension `nobs x nvars`; each row is an observation vector. If it is a sparse matrix, it is assumed to be unstandardized. It should have attributes `xm` and `xs`, where `xm(j)` and `xs(j)` are the centering and scaling factors for variable j respsectively. If it is not a sparse matrix, it is assumed to be standardized.
`beta` | Feature coefficients.
`a0` | Intercept.

[Package glmnet version 4.1-2 Index]