getMatEval

a data frame in which each row corrsponds to an observation,
     and each column to a binary variable.

data

a character vector naming the prime implicants that
     should be evaluated. Each of the variables composing these prime implicants must
     be represented by one column of <code>data</code>.

vec.primes

 should some checks be done before the evaluation is performed? It is
     highly recommended not to change the default <code>check = TRUE</code>.

check


  Computes the values of prime implicants for observations for which the
  values of the variables composing the prime implicants are available.


utilities

Identification of interactions between binary variables using Logic
Regression. Can, e.g., be used to find interesting SNP interactions. Contains
also a bagging version of logic regression for classification.

Holger Schwender

logicFS

Identification of SNP Interactions

getMatEval function

a data frame in which each row corrsponds to an observation,
     and each column to a binary variable.

a character vector naming the prime implicants that
     should be evaluated. Each of the variables composing these prime implicants must
     be represented by one column of <code>data</code>.

should some checks be done before the evaluation is performed? It is
     highly recommended not to change the default <code>check = TRUE</code>.

Computes the values of prime implicants for observations for which the
  values of the variables composing the prime implicants are available.

getMatEval: Evaluate Prime Implicants

Description

Usage

Arguments

Value