genRandomPar: The function for generating random partitions
In blockmodelingOld: Generalized and Classical Blockmodeling of Valued Networks

The function generates random partitions. The function is meant to be caled by the function optRandomParC

1 2	genRandomPar(k, n, seed = NULL, mingr = 1, maxgr = Inf, addParam = list(genPajekPar = TRUE, probGenMech = NULL))

`k`	Number of clusters (by modes)
`n`	Number of units (by modes)
`seed`	Seed for generating random numbers (partitions)
`mingr`	Minimal alowed group size
`maxgr`	Maximal alowed group size
`addParam`	This has to be a list with the following parameters (any or all can be missing, then the default values (see usage) are used): "genPajekPar" - Should the partitions be generated as in Pajek (Batagelj and Mrvar, 2006). If `FALSE`, all partitions are selected completly at random while making sure that the partitions have the required number of clusters. "probGenMech" - Here the probabilities for 4 diferent generating mechanichems can be specified. If this is not specified, the value is set to `c(1/3,1/3,1/3,0)` if `genPajekPar` is `TRUE` and to `c(0,0,0,1)` if `genPajekPar` is `FALSE`. The first 3 mechanisems are the same as implemetned in Pajek (the second one has almost all units in only one cluster) and the fourth is completly random (from uniform distribution).