get.score: LASSO Score Constructor

In pranavdorbala/proteomicsHF: ARIC Proteomics of Heart Failure -- Biomarker Discovery Pipeline

Description

This function uses the LASSO Model retained coefficients to recreate the linear predictor. This predictor is then adjusted and regressed against the outcome. This predictor is only based on the protein values, thus adjustment variables must be included.

Usage

get.score(data, coefs, adjust, time, outc)

Arguments

data	The tibble containing the merged proteomic and study data.
coefs	The LASSO coefficients output from elastic.net().
adjust	The vector of adjustment variables
time	The character vector of the Survival outcome time to event variable
outc	The character vector of the Survival outcome event indicator

Value

cox

A Cox Model of the LASSO Score

score

The actual double vector constructed score

Examples

## Not run: 

fifth.score <- get.score(fifth.visit, lasso$coefs, adjust,
                         "fuptime", "hfdiag")



## End(Not run)

pranavdorbala/proteomicsHF documentation built on March 9, 2021, 12:22 a.m.