splitConnMat {ConnMatTools} | R Documentation |
This function tries to optimally split a given subpopulation into two smaller subpopulations.
splitConnMat(
indices,
conn.mat,
beta,
tries = 5,
threshold = 1e-10,
alpha = 0.1,
maxit = 500
)
indices |
vector of indices of sites in a subpopulation |
conn.mat |
a square connectivity matrix. This matrix has typically been normalized and made symmetric prior to using this function. |
beta |
controls degree of splitting of connectivity matrix, with larger values generating more subpopulations. |
tries |
how many times to restart the optimization algorithm. Defaults to 5. |
threshold |
controls when to stop each "try". Defaults to 1e-10. |
alpha |
controls rate of convergence to solution |
maxit |
Maximum number of iterations to perform per "try". |
List with one or two elements, each containing a vector of indices of sites in a subpopulations
David M. Kaplan dmkaplan2000@gmail.com
Jacobi, M. N., Andre, C., Doos, K., and Jonsson, P. R. 2012. Identification of subpopulations from connectivity matrices. Ecography, 35: 1004-1016.
See also optimalSplitConnMat
,
recSplitConnMat
,
subpopsVectorToList