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# bhpm.cluster
# Cluster Analysis wrapper
# R. Carragher
# Date: 29/06/2018
Id <- "$Id: bhpm.cluster.BB.hier3.R,v 1.4 2019/05/28 11:05:07 clb13102 Exp clb13102 $"
bhpm.cluster.BB.hier3 <- function(cluster.data, sim_type = "SLICE", burnin = 20000, iter = 60000, nchains = 5,
theta_algorithm = "MH",
global.sim.params = data.frame(type = c("MH", "MH", "MH", "MH", "SLICE", "SLICE", "SLICE"),
param = c("sigma_MH_alpha", "sigma_MH_beta", "sigma_MH_gamma", "sigma_MH_theta",
"w_alpha", "w_beta", "w_gamma"),
value = c(3, 3, 0.2, 0.25, 1, 1, 1), control = c(0, 0, 0, 0, 6, 6, 6),
stringsAsFactors = FALSE),
sim.params = NULL,
monitor = data.frame(variable = c("theta", "gamma", "mu.gamma", "mu.theta",
"sigma2.theta", "sigma2.gamma",
"mu.theta.0", "mu.gamma.0", "tau2.theta.0", "tau2.gamma.0",
"pi", "alpha.pi", "beta.pi"),
monitor = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1),
stringsAsFactors = FALSE),
initial_values = NULL, level = 1,
hyper_params = list(mu.gamma.0.0 = 0, tau2.gamma.0.0 = 10,
mu.theta.0.0 = 0, tau2.theta.0.0 = 10, alpha.gamma.0.0 = 3, beta.gamma.0.0 = 1, alpha.theta.0.0 = 3,
beta.theta.0.0 = 1, alpha.gamma = 3, beta.gamma = 1, alpha.theta = 3, beta.theta = 1,
lambda.alpha = 1.0, lambda.beta = 1.0),
global.pm.weight = 0.5,
pm.weights = NULL,
adapt_phase=1, memory_model = "HIGH")
{
if (level == 0) {
model_fit = bhpm.cluster.BB.indep(cluster.data, sim_type, burnin, iter, nchains,
theta_algorithm, global.sim.params, sim.params, monitor,
initial_values,
hyper_params, global.pm.weight, pm.weights,
adapt_phase, memory_model)
} else if (level == 1) {
model_fit = bhpm.cluster.BB.dep.lev1(cluster.data, sim_type, burnin, iter,
nchains, theta_algorithm, global.sim.params, sim.params,
monitor, initial_values,
hyper_params, global.pm.weight, pm.weights,
adapt_phase, memory_model)
} else if (level == 2) {
model_fit = bhpm.cluster.BB.dep.lev2(cluster.data, sim_type, burnin, iter,
nchains, theta_algorithm, global.sim.params, sim.params,
monitor, initial_values,
hyper_params, global.pm.weight, pm.weights,
adapt_phase, memory_model)
} else {
return(NULL)
}
return(model_fit)
}
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