latinHypercubeDesign

Dimension of the problem (will be no. of columns of the result matrix).

dimension

Number of design points, defaults to <code>max(11 * dimension,
1 + 3 * dimension + dimension * (dimension - 1) / 2 + 1)</code>.

size

Numeric vector of length <code>dimension</code> giving lower bounds
for sampling, defaults to <code>c(0.0, ...)</code>.

lowerBounds

Numeric vector of length <code>dimension</code> giving upper bounds
for sampling, defaults to <code>c(1.0, ...)</code>.

upperBounds

Number of retries, which is the number of trials to find a design
with the lowest distance, default is <code>2 * dimension</code>.

retries


Produces a LHD matrix with <code>dimension</code> columns and <code>size</code>
rows.


RGP is a simple modular Genetic Programming (GP) system build in
pure R. In addition to general GP tasks, the system supports Symbolic
Regression by GP through the familiar R model formula interface. GP
individuals are represented as R expressions, an (optional) type system
enables domain-specific function sets containing functions of diverse
domain- and range types. A basic set of genetic operators for variation
(mutation and crossover) and selection is provided.

latinHypercubeDesign: Create a latin hypercube design (LHD)

Description

Usage

Arguments

Value