simlr.search.Rd
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
)
The input matrices for SIMLR.
The regularization options for SIMLR.
A data frame of parameter combinations generated by `simlr.parameters`.
The maximum number of iterations for SIMLR. Default is 100.
a list ( length of projections or number of modalities ) that indicates which modalities should be paired with current modality
The number of permutations for the significance test. Default is 1.
The verbosity level. Default is 0.
The function to use for the SIMLR evaluation. Default is `rvcoef`.
A list containing the best SIMLR result, its significance, and the parameters.