uni.slice: Univariate slice sampling (Radford M. Neal (2008))

In shariq-mohammed/stSpikeSlabEEG: Classification Models For Electroencephalography Data

Description

Performs a slice sampling update from an initial point to a new point that leaves invariant the distribution with the specified log density function.

Usage

uni.slice(
  x0,
  g,
  w = 1,
  m = Inf,
  lower = -Inf,
  upper = +Inf,
  gx0 = NULL,
  uni.slice.calls = 0,
  uni.slice.evals = 0
)

Arguments

x0	Initial point
g	Function returning the log of the probability density (plus constant)
w	Size of the steps for creating interval, defaults to 1
m	Limit on steps, defaults to ∞
lower	Lower bound on support of the distribution, defaults to -∞
upper	Upper bound on support of the distribution, defaults to +∞
gx0	Value of g(x0), if known, defaults to not known

Examples

uni.slice()

shariq-mohammed/stSpikeSlabEEG documentation built on Aug. 2, 2020, 11:44 a.m.