gaussian_create_random_initial_design: Creation of a random initial design using the linear...
In mariobecerra/opdesmixr: Optimal experimental designs for mixture models
Description
Usage
Arguments
Value
Examples
View source: R/gaussian_model_functions.R
Description
Creation of a random initial design using the linear classical Gaussian model.
Usage
1
gaussian_create_random_initial_design(n_runs, q, seed = NULL)
Arguments
n_runs
Number of runs in the design.
q
Number of mixture ingredients.
seed
integer used for reproducibility
Value
Matrix of size (n_runs, q).
Examples
1
gaussian_create_random_initial_design(10, 3, 2, seed = 3)
mariobecerra/opdesmixr documentation built on Aug. 13, 2021, 9:44 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Examples
View source: R/gaussian_model_functions.R
Description
Creation of a random initial design using the linear classical Gaussian model.
Usage
1 | gaussian_create_random_initial_design(n_runs, q, seed = NULL)
|
Arguments
n_runs |
Number of runs in the design. |
q |
Number of mixture ingredients. |
seed |
integer used for reproducibility |
Value
Matrix of size (n_runs, q).
Examples
1 | gaussian_create_random_initial_design(10, 3, 2, seed = 3)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.