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shrinkage_correlation

Parameters for possible engine parameters for sda models


Description

These functions can be used to optimize engine-specific parameters of sda::sda() via discrim::discrim_linear().

Usage

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))

Arguments

range

A two-element vector holding the defaults for the smallest and largest possible values, respectively.

trans

A trans object from the scales package, such as scales::log10_trans() or scales::reciprocal_trans(). If not provided, the default is used which matches the units used in range. If no transformation, NULL.

values

A vector of possible values (TRUE or FALSE).

Details

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

Value

For the functions, they return a function with classes "param" and either "quant_param" or "qual_param".


dials

Tools for Creating Tuning Parameter Values

v0.0.10
MIT + file LICENSE
Authors
Max Kuhn [aut], Hannah Frick [aut, cre], RStudio [cph]
Initial release

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