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#' Set the default options for the MCMC simulation.
#'
#' This function creates a list with the default options of the MCMC
#' simulation.
#'
#'
#' @return A list of default options with elements: \item{lmax}{Maximum number
#' of parent nodes. Default=5.} \item{m}{Number of repeated measurements.
#' Default=1 (no repeats).} \item{dyn}{Lag for the DBN model. Default = 1 when
#' X(t) depends on the previous measurement X(t-1), but dyn can be chosen equal
#' to 2, 3, ...} \item{minPhase}{Minimal length of a segment. Default=2.}
#' \item{maxCP}{Maximal number of changepoints. Default=10.}
#' \item{maxTF}{Maximal number of incoming edges for each node. Default=5.}
#' \item{alphaCP}{Hyperparameter for the number of changepoints. Default=1.}
#' \item{betaCP}{Hyperparameter for the number of changepoints. Default=0.5.}
#' \item{alphaTF}{Hyperparameter for the number of incoming edges. Default=1.}
#' \item{betaTF}{Hyperparameter for the number of incoming edges. Default=0.5.}
#' \item{burnin}{Whether to include a burnin period. Default=F.}
#' \item{psrf.check}{Whether to calculate the potential scale reduction factor
#' (PSRF). Default=F.} \item{pp.l1}{Proposal frequency for level-1
#' hyperparameter moves. Default=0.2.} \item{pp.l2}{Proposal frequency for
#' level-2 hyperparameter moves. Default=0.01.} \item{save.by.node}{Whether to
#' save results separately for each target node. Default=F.}
#' \item{save.file}{Whether to save the results to a file. Default=F.}
#' \item{hyper.fixed}{Whether to keep the network structure prior
#' hyperparameters fixed. Default=F.} \item{cp.fixed}{Whether to keep the
#' changepoints fixed. Default=F.} \item{hyper.init}{Initial values for the
#' network structure prior hyperparameters. Default=NULL.}
#' \item{cp.init}{Initial values for the changepoint locations. Default=NULL.}
#' @author Frank Dondelinger
#' @examples
#'
#' # Set options to allow saving network and changepoint samples to file
#' options = defaultOptions()
#' options$save.file = TRUE
#'
#' # NOT EXECUTED
#' # result.bino2 = EDISON.run(dataset$sim_data,
#' # information.sharing='bino_hard',
#' # num.iter=5000, output.file='bino2.results',
#' # options=options)
#'
#' @export defaultOptions
defaultOptions <-
function() {
# Maximum number of parent nodes (fan-in restriction).
lmax = 5;
# Number of repeated measurements (=1 when no repetition)
m = 1
# Lag for the DBN model (usually = 1 when X(t) depends on the previous measurement X(t-1), but dyn can be chosen equal to 2, 3, ... )
dyn = 1
# Minimal length of a segment (or a phase)
minPhase = 2
# Maximal number of CPs
maxCP = 10
# Maximal number of incoming edges (TF) for each node
maxTF = 5
# Hyperparameters for the number of CP and incoming edges (TF)
alphaCP = 1
betaCP = 0.5
alphaTF = 1
betaTF = 0.5
# By default, do not keep betas constant during burnin
burnin = FALSE
# Whether to calculate the potential scale reduction factor (PSRF)
psrf.check = FALSE
# Proposal probabilities for hyperparameter moves
pp.l2 = 0.01
pp.l1 = 0.2
# Output options
save.by.node = FALSE
save.file = FALSE
hyper.fixed = FALSE
cp.fixed = FALSE
hyper.init = NULL
cp.init = NULL
return(list(lmax=lmax, m=m, dyn=dyn, minPhase=minPhase,
maxCP=maxCP, maxTF=maxTF, alphaCP=alphaCP, betaCP=betaCP,
alphaTF=alphaTF, betaTF=betaTF, burnin=burnin,
psrf.check=psrf.check, save.by.node=save.by.node, save.file=save.file,
hyper.fixed=hyper.fixed, hyper.init=hyper.init, cp.fixed=cp.fixed,
cp.init=cp.init, pp.l1=pp.l1, pp.l2=pp.l2))
}
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