Parameter objects for Regularized Discriminant Models

discrim_regularized() describes the effect of frac_common_cov() and frac_identity(). smoothness() is an alias for the adjust parameter in stats::density().

Usage

frac_common_cov(range = c(0, 1), trans = NULL)

frac_identity(range = c(0, 1), trans = NULL)

smoothness(range = c(0.5, 1.5), trans = NULL)

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.

Value

A function with classes "quant_param" and "param"

Details

These parameters can modulate a RDA model to go between linear and quadratic class boundaries.

Examples

frac_common_cov()
#> Fraction of the Common Covariance Matrix (quantitative)
#> Range: [0, 1]