simulate_thining_single {ERPM} | R Documentation |
Simulate thining single
Description
Function that can be used to find a good length for the thining of the Markov chain for a given model and a set of transitions in the chain (the neighborhood). It draws a chain and calculates the autocorrelation of statistics for different thinings.
Usage
simulate_thining_single(
partition,
theta,
nodes,
effects,
objects,
num.steps,
neighborhood,
numgroups.allowed,
numgroups.simulated,
sizes.allowed,
sizes.simulated,
burnin,
max.thining,
verbose = FALSE
)
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) |
burnin |
number of simulated steps for the burn-in |
max.thining |
maximal number of simulated steps in the thining |
verbose |
logical: should intermediate results during the estimation be printed or not? Defaults to FALSE. |
Value
A list