Data Model for Binary Responses using a Logarithmic Model and observed minus expected updates.

Description

Data Model for Binary Responses using a Logarithmic Model and observed minus expected updates.

Usage

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Arguments

formula

The formula of the model.

Delta

Half of this value will be subtracted for every update.

Examples

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n <- 1000
Xlogreg <- data.frame(x1=rbinom(n,1,0.4), x2=runif(n,0,1), x3=rnorm(n))
xbeta <- -1+Xlogreg$x1*100+Xlogreg$x2+Xlogreg$x3
Xlogreg$y <- rbinom(n,1,exp(xbeta)/(1+exp(xbeta)))
chartlogreg <- new("SPCEWMA",
                   model=SPCModellogregOE(Delta= 0, formula="y~x1+x2+x3"), lambda=0.8)
SPCproperty(data=Xlogreg,nrep=10,property="calARL",
            chart=chartlogreg,params=list(target=100))
#increase nrep for real applications.