PdofCSt.T1or2 calls PofCSt to implement the d-best PCS formula for the case of t=1 or t=2 populations. It is called by PdofCSt.cyc2, which implements the d-best PCS formula for general t populations. PofCSGt calls PofCSt to implement the G-best formula for general t. These functions are modular and implement the time reduction techniques of Cui and Wilson (2007).
PdofCSt.T1or2(theta, T, d, m = 20, tol = 1e-08)
PdofCSt.cyc2(theta, T, d, m = 20, tol = 1e-08)
PofCSGt(theta, T, Gd, m = 20, tol = 1e-08)Vector of statistics (or parameters) from which it is desired to select the top t of them
The number of statistics (or parameters) desired to be selected
The d-best selection parameter (scalar)
The G-best selection parameter (scalar)
Number of nodes employed in the Gauss-Hermite quadrature
Tolerance parameter to set the cut-off level for the inclusion of additional probability components in PCS
The probability of correct selection.
Cui, X. and Wilson, J. 2007. On How to Calculate the Probability of Correct Selection for Large k Populations. University of California, Riverside Statistics Department Technical Report 297. https://docs.google.com/a/biola.edu/viewer?a=v&pid=sites&srcid=YmlvbGEuZWR1fGphc29ud2lsc29ufGd4OjJmYTY2YTJjY2EwYjg2ZmY