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blockmodeling (version 0.1.9)

An R Package for Generalized and Classical Blockmodeling of Valued Networks

Description

This is primarily meant as an implementation of Generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithm) can be computed and partitioned matrices can be plotted. This is a CRAN version. A newer version is available on R-forge, which for however lacks help files.

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Version

Install

install.packages('blockmodeling')

Monthly Downloads

1,294

Version

0.1.9

License

GPL-2 | GPL-3

Maintainer

Ales Ziberna

Last Published

July 3rd, 2017

Functions in blockmodeling (0.1.9)

Pajek

Functions for loading and writing Pajek files
REGE

REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece.
find.m

Computing the threshold
formatA

A formating function for numbers
fun.by.blocks

Computation of function values by blocks
genRandomPar

The function for generating random partitions
clu

Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling
crit.fun

Computes the criterion function for a given network and partition
blockmodeling-package

An R Package for Generalized and Classical Blockmodeling of Valued Networks
check.these.par

Computes the value of a criterion function for a given network and a set of partitions
gplot1

A wrapper for funcction gplot - Two-Dimensional Visualization of Graphs
ircNorm

Function for iterated row and column normalization of valued matrices.
ss

Sum of Squared deviations from the mean and sum of Absolute Deviations from the median
two2one

Two-mode network conversions
reorderImage

Reorders 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 and White, 1971)
nkpartitions

Functions for listing all possible partitions or just cunting the number of them.
opt.par

Optimizes a partition based on the value of a criterion function.
opt.random.par

Optimizes a set of partitions based on the value of a criterion function.
plot.mat

Functions for plotting a partitioned matrix
rand

Comparing partitions
recode

Recode