Package: BTYDplus
Type: Package
Title: Probabilistic Models for Assessing and Predicting your Customer
        Base
Version: 1.0.1
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, MBG/NBD, BG/CNBD-k, MBG/CNBD-k, Pareto/NBD (HB), Pareto/NBD (Abe) and Pareto/GGG.
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, gsl, covr, knitr, rmarkdown, lintr (>= 1.0.0)
RoxygenNote: 5.0.1
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-12-14 10:15:47 UTC; m
Author: Michael Platzer [aut, cre]
Maintainer: Michael Platzer <michael.platzer@gmail.com>
Repository: CRAN
Date/Publication: 2016-12-14 17:23:14
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 10:33:34 UTC; windows
Archs: i386, x64
