Changelog

Source: NEWS.md

CLVTools 0.10.02023-10-23

NEW FEATURES

  • We add an interface to specify models using a formula notation (latentAttrition() and spending())
  • New method to plot customer’s transaction timings (plot.clv.data(which='timings'))
  • Draw diagnostic plots of multiple models in single plot (plot(other.models=list(), label=c()))
  • MUCH faster fitting for the Pareto/NBD with time-varying covariates because we implemented the LL in Rcpp

CLVTools 0.9.02022-01-09

NEW FEATURES

  • Three new diagnostic plots for transaction data to analyse frequency, spending and interpurchase time
  • New diagnostic plot for fitted transaction models (PMF plot)
  • New function to calculate the probability mass function of selected models
  • Calculate summary statistics only for the transaction data of selected customers
  • Canonical transformation from data.frame/data.table to transaction data object and vice-versa
  • Canonical subset for the data stored in the transaction data object
  • Pareto/NBD DERT: Improved numerical stability

CLVTools 0.8.12021-10-18

BUG FIXES

  • Fix importing issue after package lubridate does no longer use Rcpp

CLVTools 0.8.02021-03-23

NEW FEATURES

  • Partially refactor the LL of the extended Pareto/NBD in Rcpp with code kindly donated by Elliot Shin Oblander
  • Improved documentation

BUG FIXES

  • Optimization methods nlm and nlminb can now be used. Thanks to Elliot Shin Oblander for reporting

CLVTools 0.7.02020-08-26

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 log-likelihood: 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 0.6.02020-06-24

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 0.5.02020-05-08

  • 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 preprocess transaction data and to provide summary statistics
  • Plot of expected repeat transactions as by the fitted model compared against actuals