lobico: Lobico help function

In bhklab/RLOBICO: Fast Logical Models Implemented with IBM CPLEX

Description

A wrapper for implementing C functions for calculating logical models

Usage

lobico(X, Y, K, M, solve, param, spec, sens, lambda, weak, pos, addcons)

Arguments

X	An N x P binary matrix with N samples characterized by P binary features
Y	An N x 1 continuous vector with weights for each of the N samples
K	The number of disjunctive terms
M	The maximum number of selected features per disjunctive term
solve	A parameter
param	Some parameters
spec	The constraints on minimum specificity
sens	The constraints on minimum sensitivity
lambda	The regularizer of penalty for model complexity
weak	The parameter about whether to formulate weaker logic model
pos	The parameter about whether to return quick and dirty solutions to disallow negations, i.e. only positive
addcons	Some additional constraints

Value

Return the solution matrix

Examples

data(bibw2992)
MutationMatrix <- bibw2992
IC50s <- MutationMatrix$BIBW2992
MutationMatrix <- MutationMatrix[, -2:-1]

th <- 0.5
X <- MutationMatrix
Y <- as.double(IC50s < th)
W <- abs(IC50s - th)

K <- 2
M <- 1

# Build the solver
sol <- lobico(X = X, Y = W, K = K, M = M)

bhklab/RLOBICO documentation built on Nov. 4, 2019, 7:16 a.m.