estimates.phase2: vector containing parameter values after phase 2
z.obs: observed statistics
presence.tables: data frame to indicate which times nodes are present in the partition
nodes: node set (data frame)
effects: effects/sufficient statistics (list with a vector "names", and a vector "objects")
objects: objects used for statistics calculation (list with a vector "name", and a vector "object")
burnin: integer for the number of burn-in steps before sampling
thining: integer for the number of thining steps between sampling
a.scaling: multiplicative factor for out-of-diagonal elements of the covariance matrix
length.p3: number of samples in phase 3
neighborhood: vector for the probability of choosing a particular transition in the chain
numgroups.allowed: vector containing the number of groups allowed in the partition (now, it only works with vectors like num_min:num_max)
numgroups.simulated: vector containing the number of groups simulated
sizes.allowed: vector of group sizes allowed in sampling (now, it only works for vectors like size_min:size_max)
sizes.simulated: vector of group sizes allowed in the Markov chain but not necessraily sampled (now, it only works for vectors like size_min:size_max)
fixed.estimates: if some parameters are fixed, list with as many elements as effects, these elements equal a fixed value if needed, or NULL if they should be estimated
parallel: boolean to indicate whether the code should be run in parallel
cpus: number of cpus if parallel = TRUE
verbose: logical: should intermediate results during the estimation be printed or not? Defaults to FALSE.