grid_max_entropy {dials} | R Documentation |
Max-entropy and latin hypercube grids
Description
These functions are deprecated because they have been replaced by
grid_space_filling()
.
Usage
grid_max_entropy(
x,
...,
size = 3,
original = TRUE,
variogram_range = 0.5,
iter = 1000
)
## S3 method for class 'parameters'
grid_max_entropy(
x,
...,
size = 3,
original = TRUE,
variogram_range = 0.5,
iter = 1000
)
## S3 method for class 'list'
grid_max_entropy(
x,
...,
size = 3,
original = TRUE,
variogram_range = 0.5,
iter = 1000
)
## S3 method for class 'param'
grid_max_entropy(
x,
...,
size = 3,
original = TRUE,
variogram_range = 0.5,
iter = 1000
)
grid_latin_hypercube(x, ..., size = 3, original = TRUE)
## S3 method for class 'parameters'
grid_latin_hypercube(x, ..., size = 3, original = TRUE)
## S3 method for class 'list'
grid_latin_hypercube(x, ..., size = 3, original = TRUE)
## S3 method for class 'param'
grid_latin_hypercube(x, ..., size = 3, original = TRUE)
Arguments
x |
A |
... |
One or more |
size |
A single integer for the maximum number of parameter value combinations returned. If duplicate combinations are generated from this size, the smaller, unique set is returned. |
original |
A logical: should the parameters be in the original units or in the transformed space (if any)? |
variogram_range |
A numeric value greater than zero. Larger values
reduce the likelihood of empty regions in the parameter space. Only used
for |
iter |
An integer for the maximum number of iterations used to find
a good design. Only used for |
Examples
grid_latin_hypercube(penalty(), mixture(), original = TRUE)