FBMS (version 1.1)

summary.gmjmcmc_merged: Function to print a quick summary of the results

Description

Function to print a quick summary of the results

Usage

# S3 method for gmjmcmc_merged
summary(
  object,
  tol = 1e-04,
  labels = FALSE,
  effects = NULL,
  pop = NULL,
  data = NULL,
  verbose = TRUE,
  ...
)

Value

A data frame containing the following columns:

feats.strings

Character representation of the features ordered by marginal probabilities.

marg.probs

Marginal probabilities corresponding to the ordered feature strings.

Arguments

object

The results to use

tol

The tolerance to use as a threshold when reporting the results.

labels

Should the covariates be named, or just referred to as their place in the data.frame.

effects

Quantiles for posterior modes of the effects across models to be reported, if either effects are NULL or if labels are NULL, no effects are reported.

pop

If null same as in merge.options for running parallel gmjmcmc otherwise results will be re-merged according to pop that can be "all", "last", "best"

data

Data to merge on, important if pre-filtering was used

verbose

If the summary should be printed to the console or just returned, defaults to TRUE

...

Not used.

Examples

result <- gmjmcmc.parallel(
 runs = 1,
 cores = 1,
 list(populations = "best", complex.measure = 2, tol = 0.0000001),
 matrix(rnorm(600), 100),
 P = 2,
 gaussian.loglik,
 loglik.alpha = gaussian.loglik.alpha,
 c("p0", "exp_dbl")
)
summary(result)