markerSearchPower-internal {markerSearchPower} | R Documentation |
Internal markerSearchPower functions.
CDF.F3l1(x, c, d) CDF.F4l3(x) CDF.F34(x) CDF.T3(x) covT1l3T2l3Func(b1, b2, b3, p1, p2, sigm) covT1T1l3Func(b1, b2, b3, p1, p2, sigm) covT1T2Func(b1, b2, b3, p1, p2, sigm) covT1T2l3Func(b1, b2, b3, p1, p2, sigm) covT12T1Func(b1, b2, b3, p1, p2, sigm) meanF3l1Func(b1, b2, b3, p1, p2, p3, sigm) meanT1Func(b1, b2, b3, p1, p2, sigm, n) meanT1l3Func(b1, b2, b3, p1, p2, sigm, n) meanT12Func(b1, b2, b3, p1, p2, sigm, n) PDF.F34(x) power.exhaustive.atleast1(meanT12, meanT1, meanT2, covMT12s, c3l1, d3l1, c3l2, d3l2, R, p, n, samplePointN) power.exhaustive.both(meanT12, meanT1, meanT2, covMT12s, c3l1, d3l1, c3l2, d3l2, R, p, n, samplePointN) power.forward.atleast1(meanT1, meanT2, meanT1l3, meanT2l3, covMTvector, R, p, samplePointN, decompMethod) power.forward.both(meanT12, meanT1, meanT2, covMT12s, c3l1, d3l1, c3l2, d3l2, R, p, n, samplePointN) power.marginal(meanT1, meanT2, covMT1T2, R, p, isBoth, samplePointN) tripleSet(r, p, F34N) tripleSet2(r, p1, p2, F34N) varF3l1Func(b1, b2, b3, p1, p2, p3, sigm) varT1Func(b1, b2, b3, p1, p2, sigm) varT1l3Func(b1, b2, b3, p1, p2, sigm) varT12Func(b1, b2, b3, p1, p2, sigm)
These functions are not for use at user level.
CDF.F3l1, CDF.F4l3, CDF.F34, CDF.T3
give discribution functions.
PDF.F34
gives density functions.
meanF3l1Func, meanT1Func, meanT1l3Func, meanT12Func
give means for relevant asymptotic distributions.
varF3l1Func, varT1Func, varT1l3Func, varT12Func
give variances for relevant asymptotic distributions.
covT1l3T2l3Func, covT1T1l3Func, covT1T2Func, covT1T2l3Func, covT12T1Func
give covariances for relevant asymptotic distributions.
power.xx
give calculated power values.
tripleSet, tripleSet2
return all possible distributions in three groups for finite samples.
Zheyang Wu
Zheyang Wu and Hongyu Zhao (2009) Statistical Power of Model Selection Strategies for Genome-Wide Association Studies. Submitted