internal: Internal functions for optBiomarker package.

In optBiomarker: Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules

Description

Internal functions for optBiomarker package.

Usage

tnormAvg(a1=-Inf, a2=Inf,mu=0,sigma=1)
avg2Lower(truncAvg=log2(2), mu=0,sigma=1)
objFun(para, mu=0,sigma=1,truncAvg=log2(2))
plot3dFun(panel,...)
dimSelect(x, val)
yapprox(y, x, xout, method="linear", n=50,
          yleft, yright, rule = 1, f = 0, ties = mean)
matapprox(mat, rx, cx, nr=100,nc=20,rout, cout)

classpredict.lda(object, newdata)
classpredict.knn(object, newdata) 

Details

These functions are not to be called by the user.

optBiomarker documentation built on Jan. 19, 2021, 1:06 a.m.