DESCRIPTION

Package: BTYDplus
Type: Package
Title: Probabilistic Models for Assessing and Predicting your Customer Base
Version: 1.2.0
Authors@R: person("Michael", "Platzer", email = "michael.platzer@gmail.com", role = c("aut", "cre"))
Description: Provides advanced statistical methods to describe and predict customers'
  purchase behavior in a non-contractual setting. It uses historic transaction records to fit a
  probabilistic model, which then allows to compute quantities of managerial interest on a cohort-
  as well as on a customer level (Customer Lifetime Value, Customer Equity, P(alive), etc.). This
  package complements the BTYD package by providing several additional buy-till-you-die models, that
  have been published in the marketing literature, but whose implementation are complex and non-trivial.
  These models are: NBD [Ehrenberg (1959) <doi:10.2307/2985810>], MBG/NBD [Batislam et al (2007) 
  <doi:10.1016/j.ijresmar.2006.12.005>], (M)BG/CNBD-k [Reutterer et al (2020) 
  <doi:10.1016/j.ijresmar.2020.09.002>], Pareto/NBD (HB) [Abe (2009) <doi:10.1287/mksc.1090.0502>] 
  and Pareto/GGG [Platzer and Reutterer (2016) <doi:10.1287/mksc.2015.0963>].
URL: https://github.com/mplatzer/BTYDplus#readme
BugReports: https://github.com/mplatzer/BTYDplus/issues
License: GPL-3
LinkingTo: Rcpp
Depends: R (>= 3.2.0)
Imports:
    Rcpp,
    BTYD (>= 2.3),
    coda,
    data.table,
    mvtnorm,
    bayesm,
    stats,
    graphics
Suggests:
    testthat,
    covr,
    knitr,
    rmarkdown,
    gsl,
    lintr (>= 1.0.0)
RoxygenNote: 7.1.1
LazyData: true
VignetteBuilder: knitr