API for predictionet
Inference for predictive networks designed for (but not limited to) genomic data

Global functions
`.build.regression.regrnet` Source code
`.build2.mim` Source code
`.exportGML` Source code
`.fit.regrnet.causal.ensemble` Source code
`.fit.regrnet.causal2` Source code
`.fit.regrnet.causal` Source code
`.get.ii4triplets.gaussian` Source code
`.list2matrixens` Source code
`.network2triplets` Source code
`.pred.onegene.bayesnet.fs` Source code
`.pred.onegene.regrnet.fs` Source code
`.pred2mean` Source code
`.rank.genes.causal.ensemble` Source code
`.rank.genes.causal.perturbations2` Source code
`.rank.genes.causal.perturbations` Source code
`.rank.genes.ensemble` Source code
`.regrlin` Source code
`.regrnet2matrixtopo` Source code
`.stab.cv2stab` Source code
`.topo2stab` Source code
`data.discretize` Source code
`eval.network` Source code
`mcc` Source code
`net2pred` Source code
`netinf.cv` Source code
`netinf.predict` Source code
`netinf` Source code
`pred.score` Source code
`predictionet.press.statistic` Source code
`predictionet.stability.cv` Source code
adj.get.hops Man page
adj.remove.cycles Man page
annot.ras Man page
annot2.ras Man page
data.discretize Man page
data.ras Man page
data2.ras Man page
demo.ras Man page
demo2.ras Man page
eval.network Man page
expO.colon.ras Man page
jorissen.colon.ras Man page
mcc Man page
net2pred Man page
netinf Man page
netinf.cv Man page
netinf.predict Man page
netinf2gml Man page
pred.score Man page
predictionet Man page
predictionet-package Man page
predictionet.press.statistic Man page
predictionet.stability.cv Man page
priors.ras Man page
priors2.ras Man page
predictionet documentation built on Nov. 8, 2020, 7:48 p.m.