This function performs a grid search over the parameter combinations provided by `options_df`.

simlr.search(
  mats,
  regs,
  options_df,
  maxits = 100,
  connectors = NULL,
  nperms = 1,
  verbose = 0,
  FUN = rvcoef
)

Arguments

mats

The input matrices for SIMLR.

regs

The regularization options for SIMLR.

options_df

A data frame of parameter combinations generated by `simlr.parameters`.

maxits

The maximum number of iterations for SIMLR. Default is 100.

connectors

a list ( length of projections or number of modalities ) that indicates which modalities should be paired with current modality

nperms

The number of permutations for the significance test. Default is 1.

verbose

The verbosity level. Default is 0.

FUN

The function to use for the SIMLR evaluation. Default is `rvcoef`.

Value

A list containing the best SIMLR result, its significance, and the parameters.