ClustCpObj: ClustCpObj class constructor

Description

A constructor for the ClustCpObj class, which stores the output of the change point detection and clustering algorithms.

Usage

ClustCpObj(
  data = NULL,
  n_iterations = NULL,
  n_burnin = NULL,
  clust = NULL,
  orders = NULL,
  time = NULL,
  norm_vec = NULL,
  entropy_MCMC = NULL,
  lkl_MCMC = NULL,
  I0_MCMC = NULL,
  kernel_ts = NULL,
  kernel_epi = NULL,
  univariate_ts = NULL
)

Value

An object of class ClustCpObj.

Arguments

data: A vector or matrix containing the observed data.
n_iterations: Total number of MCMC iterations.
n_burnin: Number of burn-in iterations removed from posterior summaries.
clust: A matrix where each row contains the cluster assignments for one iteration.
orders: A multidimensional array where each slice is a matrix representing the latent order at each iteration.
time: Total computational time (in seconds).
norm_vec: A vector containing precomputed normalization constants.
entropy_MCMC: A coda::mcmc object containing the MCMC samples of the entropy.
lkl_MCMC: A coda::mcmc object containing the log-likelihood values at each iteration.
I0_MCMC: A coda::mcmc object with the MCMC trace of the initial infection proportion \(I_0\).
kernel_ts: Logical; TRUE if the kernel corresponds to time-series data.
kernel_epi: Logical; TRUE if the kernel corresponds to epidemic diffusion data.
univariate_ts: Logical; TRUE if the data represent a univariate time series, FALSE for multivariate time series.