finalOneRun: Building local models in parallel for all the time points

In shariq-mohammed/SpikeSlabEEG: Bayesian Variable Selection for EEG Data

Description

Builds local models in parallel by detecting the number of cores (k) on the machine. This function builds models at tau time points parllely using all avialable cores.

Usage

finalOneRun(y, X, c_init, zeta_init, nusq_init, w_init, v0, a1, a2, q, Nmcmc,
  ind)

Arguments

y	binary response correspoding to n subjects
X	n x p x tau - tensor (EEG data) for n subjects, p locations and tau time points
c_init	initial value for c
zeta_init	initial values for ζ
nusq_init	initial values for ν^2
w_init	initial value for w - the complexity parameter
v0	hyperparameter v0
a1	hyperparameter a1
a2	hyperparameter a2
q	hyperparameter q
Nmcmc	number of MCMC samples to generate
ind	indices of MCMC samples to use after burnin ad thinning

Examples

finalOneRun()

shariq-mohammed/SpikeSlabEEG documentation built on July 21, 2020, 12:17 a.m.