CLVTools 0.7.0 2020-08-26

NEW FEATURES

  • Refactor the Gamma-Gamma (GG) model to predict mean spending per transaction into an independent model
  • The prediction for transaction models can now be combined with separately fit spending models
  • Write the unconditional expectation functions in Rcpp for faster plotting (Pareto/NBD and Beta-Geometric/NBD)
  • Improved documentation and walkthrough

BUG FIXES

  • Pareto/NBD LogLikelihood: For the case Tcal = t.x and for the case alpha == beta
  • Static or dynamic covariates with syntactically invalid names (spaces, start with numbers, etc) could not be fit

CLVTools 0.6.0 2020-06-24

NEW FEATURES

  • Beta-Geometric/NBD (BG/NBD) model to predict repeat transactions without and with static covariates
  • Gamma-Gompertz (GGompertz) model to predict repeat transactions without and with static covariates
  • Predictions are now possible for all periods >= 0 whereas before a minimum of 2 periods was required

CLVTools 0.5.0 2020-05-08

  • Initial release of the CLVTools package

NEW FEATURES

  • Pareto/NBD model to predict repeat transactions without and with static or dynamic covariates
  • Gamma-Gamma model to predict average spending
  • Predicting CLV and future transactions per customer
  • Data class to pre-process transaction data and to provide summary statistics
  • Plot of expected repeat transactions as by the fitted model compared against actuals