Description Usage Arguments Value Author(s) References See Also Examples

A function to randomly generate `n0`

-many points
within requested bounds, `lb`

, `ub`

.
The points selected are to have the largest, minimum
distance between any two points.

1 | ```
generateX0 (lb, ub, n0 = 10, npool = 100)
``` |

`lb` |
Lower (finite) bounds for points generated. |

`ub` |
Upper (finite) bounds for points generated. |

`n0` |
The number of points to be generated. |

`npool` |
The size of the pool of sets of randomly generated points in determining the best set of points. |

A matrix is returned which can then be supplied to
`hybrid.explore`

.

Mark James Fielding <mark.fielding@gmx.com>

"Efficient MCMC Schemes for Computationally Expensive Posterior Distributions", Fielding, Nott and Liong (2011).

1 2 3 | ```
lb <- c(-3,-3)
ub <- c(3,3)
X0 <- generateX0(lb, ub)
``` |

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