Man pages for asypow
Calculate Power Utilizing Asymptotic Likelihood Ratio Methods

asypow-internalInternal asypow objects
asypow.nAsymptotic Sample Size
asypow.noncentAsymptotic Noncentrality Parameter
asypow.powerAsymptotic Power
asypow.sigAsymptotic Significance
info.binomial.designExpected Information Matrix for a Binomial Design
info.binomial.kgroupExpected Information Matrix for Single or Multiple Group...
info.expsurv.designExpected Information Matrix for a Clinical Trial with...
info.expsurv.kgroupExpected Information Matrix for a Single or Multiple Group...
info.mvlogisticExpected Information Matrix for a Multivariate Logistic Model
info.mvloglinExpected Information Matrix for a Multivariate Log-Linear...
info.ordinal.designExpected Information Matrix for an Ordinal Design
info.ordinal.kgroupExpected Information Matrix for Single or Multiple Group...
info.poisson.designExpected Information Matrix for a Poisson Design
info.poisson.kgroupExpected Information Matrix for Single or Multiple Group...
info.reparamReparameterize Expected Information Matrix
asypow documentation built on May 2, 2019, 2:37 a.m.