Runs exhaustive search on a single node and saves results in txt file.
node(X, n, id = NULL, nbf = 15, delta = seq(0.5, 1, 0.01), cpp = TRUE,
priors = priors.spec(), path = getwd())array with dimensions timeseries x nodes.
node number.
subject ID. If set, results are saved to a txt file.
Log Predictive Likelihood will sum from (and including) this time point.
a vector of potential values for the discount factor.#'
boolean true (default): fast C++ implementation, false: native R code.
list with prior hyperparameters.
a path where results are written.
store list with results.