summary.spikeSlabGAM: Summary for posterior of a 'spikeSlabGAM' fit

In spikeSlabGAM: Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models

Summary for posterior of a spikeSlabGAM fit

Description

Returns basic information about prior and model structure, posterior means of inclusion probabilities, term importance and the most probable models found by the SSVS.

Usage

## S3 method for class 'spikeSlabGAM'
summary(object, threshold = 0.5, ...)

Arguments

object	an object of class spikeSlabGAM
threshold	threshold for inclusion of a model term. Defaults to 0.5.
...	arguments passed from or to other methods (not used)

Details

Two scalar summaries of term importance are included:

P(gamma = 1)

The posterior mean of P(γ = 1), i.e. the marginal posterior inclusion probability of the term.

pi

The scaled dot products of the posterior mean of the linear predictor η_i associated with the i-th term and the total linear predictor η: π_i = η_i^T η/ η^T η. They sum to one (but can be negative as well), and (for mutually orthogonal η_i) provide a percentage decomposition of the sum of squares of η. See references for details.

The summary also shows the dimensionality of the basis associated with a term.

The top row in the model table shows the relative frequency of the respective model, the bottom row shows cumulative relative frequencies for the models visited most often.

Value

an object of class summary.spikeSlabGAM

Author(s)

Fabian Scheipl

References

Gu, Chong (2002). Smoothing Spline ANOVA models. Springer. (see chapter 3.6)

spikeSlabGAM documentation built on June 10, 2022, 5:10 p.m.