pggg.mcmc.DrawParameters

data.frame with columns <code>x</code>, <code>t.x</code>, <code>T.cal</code>, <code>litt</code>; e.g. output of <code><a rd-options="" href="/link/elog2cbs?package=BTYDplus&version=0.7.0" data-mini-rdoc="BTYDplus::elog2cbs">elog2cbs</a></code>

cal.cbs

mcmc

number of initial MCMC steps which are discarded

burnin

only every thin-th MCMC step will be returned

thin

chains

number of cores to use in parallel (Unix only); defaults to min(chains, detectCores())

mc.cores

list of 2nd-level parameter start values

param_init

print logging step every <code>trace</code> iteration

trace

Returns 2-element list
 level_1: 3-dim array [draw x parameter x cust] wrapped as coda::mcmc.list object
 level_2: 2-dim array [draw x parameter] wrapped as coda::mcmc.list object

Extends the functionality of BTYD package by providing methods for
parameter estimation and scoring for NBD, G/G/NBD, MBG/NBD, BG/CNBD-k and
MBG/CNBD-k models, as well as MCMC samples for Pareto/NBD,
Abe's Pareto/NBD variant and Pareto/GGG.

Michael Platzer

BTYDplus

Extension of R Package BTYD

pggg.mcmc.DrawParameters function

data.frame with columns <code>x</code>, <code>t.x</code>, <code>T.cal</code>, <code>litt</code>; e.g. output of <code><a rd-options='' href='elog2cbs'>elog2cbs</a></code>

pggg.mcmc.DrawParameters: Hierarchical Bayes implementation of Pareto/GGG

Description

Usage

Arguments

Value

See Also