dials: prior_slab_dispersion – R documentation

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prior_slab_dispersion

Bayesian PCA parameters

Description

A numeric parameter function representing parameters for the spike-and-slab prior used by embed::step_pca_sparse_bayes().

Usage

prior_slab_dispersion(range = c(-1/2, log10(3)), trans = log10_trans())

prior_mixture_threshold(range = c(0, 1), 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`.

Details

prior_slab_dispersion() is related to the prior for the case where a PCA loading is selected (i.e. non-zero). Smaller values result in an increase in zero coefficients.

prior_mixture_threshold() is used to threshold the prior to determine which parameters are non-zero or zero. Increasing this parameter increases the number of zero coefficients.

Examples

mixture()

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