hisemi: Hierarchical Semiparametric Regression of Test Statistics

This package implements methods for hierarchical semiparametric regression models for test statistics. Specifically, test statistics given the null/alternative hypotheses are modeled parametrically, whereas the unobservable status of null/alternative hypotheses are modeled using nonparametric additive logistic regression over covariates.

Install the latest version of this package by entering the following in R:
AuthorLong Qu
Date of publication2013-08-31 14:46:21
MaintainerLong Qu <long.qu@wright.edu>
LicenseGPL (>= 2)

View on CRAN


bsplinepen.fda Man page
coefficients.hisemit Man page
coef.hisemit Man page
confint.hisemit Man page
directSum Man page
EMupdate Man page
fitted.hisemit Man page
fitted.values.hisemit Man page
hisemi Man page
hisemi-package Man page
logistic.enp Man page
logit Man page
logit.inv Man page
logLik.hisemit Man page
n.knots Man page
NRupdate Man page
OsplinePen Man page
penLik.EMNewton Man page
plot.hisemit Man page
plotHisemitResid Man page
plotHisemitTuning Man page
print.hisemit Man page
resid.hisemit Man page
residuals.hisemit Man page
scaledTMix.null Man page
scaledTMix.psat Man page
scaledTMix.sat Man page
summary.hisemit Man page
tPoly.newton Man page
vcov.hisemit Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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