plusMinus {simulatorZ} | R Documentation |
function for plusMinus algorithm
plusMinus(X, y, lambda = NULL, tuningpar = "nfeatures", standardize = FALSE, directionality = "posneg", ties.method = "average", votingthresholdquantile = 0.5, modeltype = "plusminus")
X |
gene expression matrix |
y |
response variables |
lambda |
lambda |
tuningpar |
tuning parameter |
standardize |
standardize or not |
directionality |
directionality |
ties.method |
ties.method |
votingthresholdquantile |
votingthresholdquantile |
modeltype |
modeltype |
returns regression coefficients
Yuqing Zhang, Christoph Bernau, Levi Waldron
set.seed(8) library(curatedOvarianData) data( E.MTAB.386_eset ) eset <- E.MTAB.386_eset[1:100, 1:30] X <- t(exprs(eset)) time <- eset$days_to_death cens <- sample(0:1, 30, replace=TRUE) y <- Surv(time, cens) beta <- plusMinus(X, y) beta