A Bayesian Approach for Clustering Constant-Wise Change-Point Data

Documentation for package ‘BayesCPclust’ version 0.1.0

data	Error free data for all examples.
data_a	Error free data for all examples.
full_cond	Full conditional for lambda
gibbs_alg	Gibbs sampler algorithm for simulated scenarios or real datasets
logsumexp	Transfor a vector with over- or underflow
Mode	Compute the mode of a numerical vector
pk	Probability mass function for truncated poisson
possigma2n	Full conditional function for sigma2
postalpha0	Posterior for alpha0
postalphak	Full conditional for alphak
postK	Marginal probability of K
postK_mk	Marginal probability of K per bin
postmk	Marginal probability of m1,m2,m3,...,mk+1
qn0	Mixing probability for creating new cluster
qn0_mk	Mixing probability for creating new cluster per bin
qnj	Mixing probability for getting assigned to an existing cluster
run_gibbs	Runs the Gibbs sampler algorithm using using initial values for the parameters
update_lambda	Update equation for lambda