Description Usage Arguments Value Author(s)

View source: R/rerandomization_search.R

This method creates an object of type rerandomization_experimental_design and will immediately initiate a search through $1_T$ space for forced-balance designs.

1 2 3 4 5 6 7 8 9 10 |

`X` |
The design matrix with $n$ rows (one for each subject) and $p$ columns (one for each measurement on the subject). This is the design matrix you wish to search for a more optimal design. |

`obj_val_cutoff_to_include` |
Only allocation vectors with objective values lower than this threshold will be returned.
If the cutoff is infinity, you are doing BCRD and you should use the |

`max_designs` |
The maximum number of designs to be returned. Default is 10,000. Make this large
so you can search however long you wish as the search can be stopped at any time by
using the |

`objective` |
The objective function to use when searching design space. This is a string
with valid values " |

`Kgram` |
If the |

`wait` |
Should the |

`start` |
Should we start searching immediately (default is |

`num_cores` |
The number of CPU cores you wish to use during the search. The default is |

An object of type `rerandomization_experimental_design_search`

which can be further operated upon.

Adam Kapelner

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.