REGE.FC                 REGE - Algorithms for compiting
                        (dis)similarities in terms of regular
                        equivalnece
baker                   Citation data between social work journals for
                        the 1985-86 period
blockmodeling           An R package for Generalized and classical
                        blockmodeling of valued networks
clu                     Function for extraction of some elements for
                        objects, returend by functions for Generalized
                        blockmodeling
crand                   Comparing partitions
critFunC                Functions for Generalized blockmodeling for
                        valued networks
find.cut                Computing the threshold
formatA                 A formating function for numbers
funByBlocks.default     Computation of function values by blocks
genMatrixMult           Generalized matrix multiplication
genRandomPar            The function for generating random partitions
gplot1                  A wrapper for function gplot - Two-Dimensional
                        Visualization of Graphs
ircNorm                 Function for iterated row and column
                        normalization of valued matrices
loadmatrix              Functions for loading and writing Pajek files
nkpar                   Functions for listing all possible partitions
                        or just counting the number of them
notesBorrowing          The notes borrowing network between
                        social-informatics students
one2two                 Two-mode network conversions
optRandomParC           Optimizing a set of partitions based on the
                        value of a criterion function The function
                        optimizes a set of partitions based on the
                        value of a criterion function (see 'critFunC'
                        for details on the criterion function) for a
                        given network and blockmodel for Generalized
                        blockmodeling (Žiberna, 2007) based on other
                        parameters (see below). The optimization is
                        done through local optimization, where the
                        neighborhood of a partition includes all
                        partitions that can be obtained by moving one
                        unit from one cluster to another or by
                        exchanging two units (from different clusters).
                        A list of paritions can or the number of
                        clusters and a number of partitions to generate
                        can be specified ('optParC'
plot.critFun            Functions for plotting a partitioned matrix
                        (representing the network)
recode                  Recode
reorderImage            Reordering an image matrix of the blockmodel
                        (or an error matrix based on new and old
                        partition
sedist                  Computes distances in terms of Structural
                        equivalence (Lorrain & White, 1971)
ss                      Sum of Squared deviations from the mean and sum
                        of Absolute Deviations from the median
