Nothing
# bhpm.pm
# Cluster Analysis wrapper - point-mass
# R. Carragher
# Date: 10/06/2019
Id <- "$Id: bhpm.pm.R,v 1.2 2019/06/11 14:18:26 clb13102 Exp clb13102 $"
bhpm.pm <- function(cluster.data, hier = 3, sim_type = "SLICE", burnin = 20000, iter = 60000, nchains = 5, theta_algorithm = "MH",
global.sim.params = NULL,
sim.params = NULL,
monitor = NULL,
initial_values = NULL,
level = 1,
hyper_params = NULL,
global.pm.weight = 0.5,
pm.weights = NULL,
adapt_phase=1,
memory_model = "HIGH")
{
g.s.p <-global.sim.params
mon <- monitor
h.p <- hyper_params
model.fit <- NULL
if (is.null(g.s.p)) {
g.s.p = bhpm.global.sim.param.defaults(model = "BB", hier = hier)
}
if (is.null(mon)) {
mon <- bhpm.monitor.defaults(model = "BB", hier = hier)
}
if (is.null(h.p)) {
h.p <- bhpm.hyper.param.defaults(model = "BB", hier = hier)
}
if (hier == 3) {
model.fit <- bhpm.cluster.BB.hier3(cluster.data,
sim_type,
burnin,
iter,
nchains,
theta_algorithm,
global.sim.params = g.s.p,
sim.params,
monitor = mon,
initial_values,
level,
hyper_params = h.p,
global.pm.weight,
pm.weights,
adapt_phase,
memory_model)
}
else if (hier == 2) {
model.fit <- bhpm.cluster.BB.hier2(cluster.data,
sim_type,
burnin,
iter,
nchains,
theta_algorithm,
global.sim.params = g.s.p,
sim.params,
monitor = mon,
initial_values,
level,
hyper_params = h.p,
global.pm.weight,
pm.weights,
adapt_phase,
memory_model)
}
return(model.fit)
}
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