Parameters for possible engine parameters for sda models
These functions can be used to optimize engine-specific parameters of
sda::sda()
via discrim::discrim_linear()
.
shrinkage_correlation(range = c(0, 1), trans = NULL) shrinkage_variance(range = c(0, 1), trans = NULL) shrinkage_frequencies(range = c(0, 1), trans = NULL) diagonal_covariance(values = c(TRUE, FALSE))
range |
A two-element vector holding the defaults for the smallest and largest possible values, respectively. |
trans |
A |
values |
A vector of possible values (TRUE or FALSE). |
These functions map to sda::sda()
arguments via:
shrinkage_correlation()
to lambda
shrinkage_variance()
to lambda.var
shrinkage_frequencies()
to lambda.freqs
diagonal_covariance()
to diagonal
For the functions, they return a function with classes "param" and either "quant_param" or "qual_param".
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