CNF_ILP_weak_cpp: CNF_ILP_weak_cpp

Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/RcppExports.R

Description

CNF

Usage

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CNF_ILP_weak_cpp(X, Y, W, K, M, lambda, sens, spec, addcons)

Arguments

X, Y, W, K, M, lambda, sens, spec, addcons

Details

CNF

Value

optfun

Objective functions

consub

right-hand side of equations

lb

lower bounds of variables

ub

upper bounds of variables

ctype

data type of variables

cons_I

the index of equation

cons_J

the index of variables under this row equation

cons_Q

the corresponding values of variables

dims

the constraint matrix size

Note

None

Author(s)

Bo Li

References

Theo A. Knijnenburg (2016) Logic models to predict continuous outputs based on binary inputs with an application to personalized cancer therapy, Scientific Reports 6

See Also

None

Examples

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##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x)
{
  }

clareli9/rlobico documentation built on May 21, 2019, 1:42 a.m.