Title: Implementing Buy 'Til You Die Models
"Fader", role="ctb"), person("Elea", "McDonnell Feit",
Description: This package contains functions for data preparation,
parameter estimation, scoring, and plotting for the BG/BB and
Collate: 'bgbb.R' 'pnbd.R' 'dc.R' 'spend.R'
Author: Lukasz Dziurzynski [aut], Edward Wadsworth [aut], Peter Fader
[ctb], Elea McDonnell Feit [cre, ctb], Bruce Hardie [ctb], Arun
Gopalakrishnan [ctb], Eric Schwartz [ctb], Yao Zhang [ctb]
Maintainer: Elea McDonnell Feit <efeit@wharton.upenn.edu>

Description: This package contains functions for data preparation, parameter estimation, scoring, and plotting for the BG/BB, BG/NBD and Pareto/NBD models.
Collate: 'bgbb.R' 'bgnbd.R' 'pnbd.R' 'dc.R' 'spend.R'

Title: Implementing BTYD Models with the Log Sum Exp Patch
person("Gabi", "Huiber", role=c("ctb", "cre"), email="ghuiber@gmail.com"))
Description: Functions for data preparation, parameter estimation, scoring, and plotting for the
BG/NBD (Fader, Hardie, and Lee 2005 <doi:10.1287/mksc.1040.0098>) and
Pareto/NBD and Gamma/Gamma (Fader, Hardie, and Lee 2005 <doi:10.1509/jmkr.2005.42.4.415>) models.
Collate: 'data.R' 'BTYD.R' 'bgbb.R' 'bgnbd.R' 'pnbd.R' 'dc.R' 'spend.R'
Depends: R(>= 3.5), hypergeo, optimx, dplyr

Title: Probabilistic Models for Assessing and Predicting your Customer
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.
Imports: Rcpp, BTYD (>= 2.3), coda, data.table, mvtnorm, bayesm, stats,
Suggests: testthat, gsl, covr, knitr, rmarkdown, lintr (>= 1.0.0)