subject: Estimate subject's full network: runs exhaustive search on...

In multdyn: Multiregression Dynamic Models

Description

Estimate subject's full network: runs exhaustive search on very node.

Usage

subject(X, id = NULL, nbf = 15, delta = seq(0.5, 1, 0.01), cpp = TRUE,
  bf = 20, priors = priors.spec(), path = getwd())

Arguments

X	array with dimensions timeseries x nodes.
id	subject ID. If set, results are saved to a txt file.
nbf	Log Predictive Likelihood will sum from (and including) this time point.
delta	a vector of potential values for the discount factor.
cpp	boolean true (default): fast C++ implementation, false: native R code.
bf	bayes factor for network thresholding.
priors	list with prior hyperparameters.
path	a path where results are written.

Value

store list with results.

multdyn documentation built on May 2, 2019, 3:43 p.m.