Linear Programming Model for Network Inference

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Documentation for package ‘lpNet’ version 2.39.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

lpNet-package	Network Inference Of Perturbation Data Using a Linear Programming Approach.
calcActivation	Calculate Activation Matrix
calcPredictionKfoldCV	Calculate Predicted Observation.
calcPredictionLOOCV	Calculate Predicted Observation.
calcRangeLambda	Compute Range Of Penalty Parameter Lambda.
doILP	Do The Network Inference With The Linear Programming Approach.
generateTimeSeriesNetStates	Generate Time Series Network States
getAdja	Get Adjacency Matrix.
getBaseline	Get Baseline Vector.
getEdgeAnnot	Get the annotation of the edges.
getObsMat	Get Observation Matrix.
getSampleAdja	Get The Sample Adjacency.
getSampleAdjaMAD	Get The Sample Adjacency.
kfoldCV	Cross-validation
loocv	Cross-validation
lpNet	Network Inference Of Perturbation Data Using a Linear Programming Approach.
summarizeRepl	Summarize Replicate Measurements