PCS_run_from_interconnections {PCSinR} | R Documentation |
Simulate the run of a PCS model based on only the interconnection matrix
Description
PCS_run_from_interconnections
simulates a PCS network given
only the pre-specified interconnection matrix and convergence
criteria, substituting default values from the literature for all other
parameters. Thereby, it provides a convenient shorthand for the
PCS_run
function that covers the vast majority of applications.
Usage
PCS_run_from_interconnections(interconnection_matrix,
convergence_criteria = c(PCS_convergence_McCandR),
convergence_names = "default")
Arguments
interconnection_matrix |
A square, matrix representing the link weights between nodes, such that each entry w_ij represents the link strength between nodes i and j. Accordingly, for a network of n nodes, the matrix must be of six n*n. In most applications, the matrix will be symmetric, meaning that links are bidirectional. |
convergence_criteria |
Array of convergence criteria to apply. This PCS
implementation allows users to define and observe multiple convergence
criteria in one model. Each entry in this array is a convergence criterion,
which is representated as a function that receives the current iteration,
energy, model state history and the |
convergence_names |
Human-readable labels for the convergence criteria,
or |
Examples
# Build interconnection matrix
interconnections <- matrix(
c( 0.0000, 0.1015, 0.0470, 0.0126, 0.0034, 0.0000, 0.0000,
0.1015, 0.0000, 0.0000, 0.0000, 0.0000, 0.0100, -0.0100,
0.0470, 0.0000, 0.0000, 0.0000, 0.0000, 0.0100, -0.0100,
0.0126, 0.0000, 0.0000, 0.0000, 0.0000, 0.0100, -0.0100,
0.0034, 0.0000, 0.0000, 0.0000, 0.0000, -0.0100, 0.0100,
0.0000, 0.0100, 0.0100, 0.0100, -0.0100, 0.0000, -0.2000,
0.0000, -0.0100, -0.0100, -0.0100, 0.0100, -0.2000, 0.0000 ),
nrow=7
)
# Run model
result <- PCS_run_from_interconnections(interconnections)
# Examine iterations required for convergence
result$convergence
# Examine final model state
result$iterations[nrow(result$iterations),]