deviances: Deviance

In PUlasso: High-Dimensional Variable Selection with Presence-Only Data

Description

Calculate deviances at provided coefficients

Usage

deviances(X, z, py1, coefMat, weights = NULL)

Arguments

X	Input matrix
z	Response vector
py1	True prevalence Pr(Y=1)
coefMat	A coefficient matrix whose column corresponds to a set of coefficients
weights	observation weights. Default is 1 for each observation.

Value

deviances

Examples

data("simulPU")
coef0<-replicate(2,runif(ncol(simulPU$X)+1))
deviances(simulPU$X,simulPU$z,py1=simulPU$truePY1,coefMat = coef0)

PUlasso documentation built on Jan. 17, 2021, 9:05 a.m.