maximin_sample

Create a maximin sample from a collection of valid points

A set of objects and functions for Bayes Linear emulation and history matching.
Core functionality includes automated training of emulators to data, diagnostic functions
to ensure suitability, and a variety of proposal methods for generating 'waves' of points.
For details on the mathematical background, there are many papers available on the topic
(see references attached to function help files or the below references); for details of
the functions in this package, consult the manual or help files.
Iskauskas, A, et al. (2024) <doi:10.18637/jss.v109.i10>.
Bower, R.G., Goldstein, M., and Vernon, I. (2010) <doi:10.1214/10-BA524>.
Craig, P.S., Goldstein, M., Seheult, A.H., and Smith, J.A. (1997) <doi:10.1007/978-1-4612-2290-3_2>.

Andrew Iskauskas

hmer

History Matching and Emulation Package

TJ McKinley

maximin_sample function

<dl><dt>points</dt>
<dd>The candidate points to select from.</dd>
<dt>n</dt>
<dd>The number of points desired in the final selection.</dd>
<dt>reps</dt>
<dd>The number of subselections to make before returning a choice</dd>
<dt>nms</dt>
<dd>The names of the inputs parameters of the points.</dd></dl>

Arguments

Generate Maximin Sample of Points — maximin_sample

<dl>

<dt>points</dt>
<dd>The candidate points to select from.</dd>


<dt>n</dt>
<dd>The number of points desired in the final selection.</dd>


<dt>reps</dt>
<dd>The number of subselections to make before returning a choice</dd>


<dt>nms</dt>
<dd>The names of the inputs parameters of the points.</dd>

</dl>

maximin_sample: Generate Maximin Sample of Points

Description

Usage

Value

Arguments

Details