crossVal: Five fold cross-validation on the EEG data

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

Description

Five fold cross-validation by specifying a specific split by seed

Usage

crossVal(
  seed = 113,
  Nmcmc = NULL,
  burnin = NULL,
  thin = NULL,
  v0 = 0.005,
  a1 = 5,
  a2 = 50,
  q = 10,
  nCores = 1
)

Arguments

seed	seed for creating splits, defaults to 113
Nmcmc	number of MCMC samples to generate
burnin	burnin samples
thin	thinning samples >0
v0	hyperparameter v0, defaults to 0.005
a1	hyperparameter a1, defaults to 5
a2	hyperparameter a2, defaults to 50
q	hyperparameter q, defaults to 10
nCores	number of cores to use to run cross validation parallelly, defaults to 1

Examples

crossVal()

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