simulate_burnin_single function

Simulate burn in single

Function that can be used to find a good length for the burn-in of the Markov chain for a given model and a given set of transitions in the chain (the neighborhood). It draws a chain and calculates the mean statistics for different burn-ins.

simulate_burnin_single(
  partition,
  theta,
  nodes,
  effects,
  objects,
  num.steps,
  neighborhood,
  numgroups.allowed,
  numgroups.simulated,
  sizes.allowed,
  sizes.simulated
)

Arguments

• partition: A partition (vector)
• theta: Initial model parameters
• 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")
• num.steps: Number of samples wanted
• neighborhood: Way of choosing partitions: probability vector (proba actors swap, proba merge/division, proba single actor move)
• 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)

Returns

A list with list the draws, the moving.means and the moving means smoothed