View source: R/zs.PCS.master02.R

PdofCSt.T1or2 | 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` |
Vector of statistics (or parameters) from which it is desired to select the top t of them |

`T` |
The number of statistics (or parameters) desired to be selected |

`d` |
The d-best selection parameter (scalar) |

`Gd` |
The G-best selection parameter (scalar) |

`m` |
Number of nodes employed in the Gauss-Hermite quadrature |

`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. https://docs.google.com/a/biola.edu/viewer?a=v&pid=sites&srcid=YmlvbGEuZWR1fGphc29ud2lsc29ufGd4OjJmYTY2YTJjY2EwYjg2ZmY

`PofCSt`

, `PdofCSt.T1or2`

, `PdofCSt.cyc2`

, `PofCSGt`

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