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Candidate values

Source: R/group-lasso.R
dot-set_candidates.Rd

Sets candidate values for hyperparameters.

Usage

.set_candidates(tune)

Arguments

tune

character string for determining the candidate values for the hyperparameters:

  • "none": fixed weights and exponents (wgt_local=1, exp_local=1, wgt_global=0), no tuning

  • "weight": fixed exponents (exp_local=0, exp_global=1), tuning wgt_local=1-wgt_global

  • "exponent": fixed weights (wgt_local=1, wgt_global=0), tuning exp_local

  • "bivariate": tuning wgt_local=1-wgt_global and exp_local=exp_global

  • "factorial": tuning wgt_local, exp_local, wgt_global, exp_global

(to implement: list with slots wgt_local, exp_local, wgt_global, and exp_global)

Value

Returns a data frame with the slots "wgt_local" and "exp_local" for the local prior information and the slots "wgt_global" and "exp_global" for the global prior information.

Examples

corila:::.set_candidates(tune = "none")
#>   wgt_local exp_local wgt_global exp_global
#> 1         1         1          0        Inf