PdofCSt.T1or2 {PCS} | R Documentation |
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)
theta |
theta Vector of statistics (or parameters) from which it is desired to select
the top t of them |
T |
T The number of statistics (or parameters) desired to be selected |
d |
d The d-best selection parameter (scalar) |
Gd |
Gd The G-best selection parameter (scalar) |
m |
m Number of nodes employed in the Gauss-Hermite quadrature |
tol |
tol Tolerance parameter to set the cut-off level for the inclusion of additional
probability components in PCS |
The probability of correct selection.
Jason Wilson, <jason.wilson@biola.edu>
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. http://www.bubbs.biola.edu/~jason.wilson/Article2_tech_techreport.pdf
PofCSt
, PdofCSt.T1or2
, PdofCSt.cyc2
, PofCSGt