API for prototest
Inference on Prototypes from Clusters of Features

Global functions
compute.F.statistic Source code
compute.QRS.vectors Source code
compute.approx.lr Source code
compute.exact.lr Source code
compute.lr.stat Source code
compute.lr.stat.multi Source code
compute.mc.t.p.val Source code
compute.mc.t.statistic Source code
compute.non.selective.p.val Source code
compute.selective.ts.and.p.val Source code
compute.test.statistic Source code
compute.trunc.F.test.p.value Source code
enet.selection.A.b Source code
enet.selection.A.b.from.enet Source code
find.limits Source code
find.norm.limits Source code
find.overall.truncation.interval Source code
find.root Source code
find.single.truncation.interval Source code
find.where.sign.changes Source code
fit.enet.fixed.lambda Source code
gradient.truncation.region.function Source code
hit.and.run.samples.multivariate.model Source code
interval.if.derivative.always.negative Source code
interval.if.derivative.always.positive Source code
limits.approx.lr Source code
limits.exact.lr Source code
maximise.lr Source code
mc.selection.A.b Source code
nonselective.mc.test Source code
nonselective.multivariate.F.test Source code
print.prototest Man page Source code
prototest Man page
prototest-package Man page
prototest.multivariate Man page Source code
prototest.univariate Man page Source code
rcpp_compute_lr_stat Source code
rcpp_generate_hit_and_run_samples Source code
rcpp_maximise_approx_likelihood Source code
rcpp_maximise_likelihood Source code
truncation.region.function Source code
update.mu Source code
update.sigma Source code
update.theta Source code
update.theta.approx Source code
prototest documentation built on May 29, 2017, 6:46 p.m.