Man pages for lpNet
Linear Programming Model for Network Inference

calcActivationCalculate Activation Matrix
calcPredictionCalculate Predicted Observation.
calcRangeLambdaCompute Range Of Penalty Parameter Lambda.
CVCross-validation
doILPDo The Network Inference With The Linear Programming...
generateTimeSeriesNetStatesGenerate Time Series Network States
getAdjaGet Adjacency Matrix.
getBaselineGet Baseline Vector.
getEdgeAnnotGet the annotation of the edges.
getObsMatGet Observation Matrix.
getSampleAdjaGet The Sample Adjacency.
lpNet-packageNetwork Inference Of Perturbation Data Using a Linear...
summarizeReplSummarize Replicate Measurements
lpNet documentation built on Nov. 8, 2020, 7:08 p.m.