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| ad | Sum of Squared deviations from the mean and sum of Absolute Deviations from the median |
| baker | Citation data between social work journals for the 1985-86 period |
| blockmodeling | An R package for Generalized and classical blockmodeling of valued networks |
| canClu | Create canonical partition and find unique canonical partitions in a list of partitions. |
| canCluUniqe | Create canonical partition and find unique canonical partitions in a list of partitions. |
| clu | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling |
| crand | Comparing partitions on one or multiple sets of units |
| crand2 | Comparing partitions on one or multiple sets of units |
| critFunC | Functions for Generalized blockmodeling for valued networks |
| EM | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling |
| err | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling |
| expandMat | Expands a square matrix by repeating each row/column the specified number of times. |
| find.cut | Computing the threshold |
| find.m | Computing the threshold |
| find.m2 | Computing the threshold |
| formatA | A formating function for numbers |
| fun.by.blocks | Computation of function values by blocks |
| funByBlocks | Computation of function values by blocks |
| funByBlocks.default | Computation of function values by blocks |
| funByBlocks.opt.more.par | Computation of function values by blocks |
| funByBlocks.optMorePar | 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 |
| gplot2 | A wrapper for function gplot - Two-Dimensional Visualization of Graphs |
| IM | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling |
| ircNorm | Function for iterated row and column normalization of valued matrices |
| loadmatrix | Functions for loading and writing Pajek files |
| loadnetwork | Functions for loading and writing Pajek files |
| loadnetwork2 | Functions for loading and writing Pajek files |
| loadnetwork3 | Functions for loading and writing Pajek files |
| loadnetwork4 | Functions for loading and writing Pajek files |
| loadpajek | Functions for loading and writing Pajek files |
| loadvector | Functions for loading and writing Pajek files |
| loadvector2 | Functions for loading and writing Pajek files |
| nanRep | Replaces NaN values by the speficied values (0 by default) |
| nkpar | Functions for listing all possible partitions or just counting the number of them |
| nkpartitions | 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 |
| optParC | Functions for Generalized blockmodeling for valued networks |
| optRandomParC | Optimizing a set of partitions based on the value of a criterion function |
| orderClu | Orders the partition so that mean values of 'fun' applied to columns (if 'funWay=2', default), rows (if 'funWay=1') or both (if 'funWay=c(1,2)') is decreasing by clusters. |
| Pajek | Functions for loading and writing Pajek files |
| partitions | Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling |
| plot.crit.fun | Functions for plotting a partitioned matrix (representing the network) |
| plot.critFun | Functions for plotting a partitioned matrix (representing the network) |
| plot.mat | Functions for plotting a partitioned matrix (representing the network) |
| plot.opt.more.par | Functions for plotting a partitioned matrix (representing the network) |
| plot.opt.more.par.mode | Functions for plotting a partitioned matrix (representing the network) |
| plot.opt.par | Functions for plotting a partitioned matrix (representing the network) |
| plot.opt.par.mode | Functions for plotting a partitioned matrix (representing the network) |
| plot.optMorePar | Functions for plotting a partitioned matrix (representing the network) |
| plot.optMoreParMode | Functions for plotting a partitioned matrix (representing the network) |
| plot.optPar | Functions for plotting a partitioned matrix (representing the network) |
| plot.optParMode | Functions for plotting a partitioned matrix (representing the network) |
| plotArray | Functions for plotting a partitioned matrix (representing the network) |
| plotMat | Functions for plotting a partitioned matrix (representing the network) |
| plotMatNm | Functions for plotting a partitioned matrix (representing the network) |
| print.optMorePar | Optimizing a set of partitions based on the value of a criterion function |
| printBlocks | Niceprinting of the 'blocks' parameter as used in 'optRandomParC' and 'critFunC'. |
| rand | Comparing partitions on one or multiple sets of units |
| rand2 | Comparing partitions on one or multiple sets of units |
| recode | Recode |
| REGD.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGD.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGD.ow.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGD.ow.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.FC | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.FC.ow | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.nm.diag.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.nm.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.nm.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.ow | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.ow.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.ow.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.ownm.diag.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.ownm.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| REGE.ownm.ne.for | REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece |
| relInv | Functions for computing "relative inverse" ('x[1]/x'). |
| relInv2 | Functions for computing "relative inverse" ('x[1]/x'). |
| reorderImage | Reordering an image matrix of the blockmodel (or an error matrix based on new and old partition |
| RF | Calculate the value of the Relative Fit function |
| savematrix | Functions for loading and writing Pajek files |
| savenetwork | Functions for loading and writing Pajek files |
| savevector | Functions for loading and writing Pajek files |
| sedist | Computes distances in terms of Structural equivalence (Lorrain & White, 1971) |
| splitClu | Functions creating a list of partitions based on a single partition and information on the number of units in each set. |
| splitCluRes | Functions creating a list of partitions based on a single partition and information on the number of units in each set. |
| ss | Sum of Squared deviations from the mean and sum of Absolute Deviations from the median |
| ssNa | Sum of Squared deviations from the mean and sum of Absolute Deviations from the median |
| two2one | Two-mode network conversions |
| unlistCluInt | Unlist a partition. |