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.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 |
| 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 |
