Kudos to contributors to this package

[hermandr]

Hi,

I am just writing to congratulate and encourage you for the work you guys have done.
This package is easy to use and apply.
I believe this will increase the adoption of calculating individual CLV.

Thank you again!!!
Great job!

Herman Tan

[pschil]

Thanks for the kind words 😊
We are planning to add (many) more features in upcoming versions.

The next release will among other things contain separate spending models with the Gamma-Gamma (gg()) as a first. This allows to assess the model fit first (convergence, plot, etc) before the obtained model object can be given to predict() of transaction models (pnbd, etc) where it is used to calculate final CLV.

Unfortunately, the team at CRAN is currently on holiday and does not accept any package updates so it will only be available on cran in 1-2 weeks.

[mmeierer]

Thanks again, @hermandr. As you have considerable experience on applying these kinds of models, you might want to give us your feedback on this idea/proposed feature to increase the adoption of calculating indvidual CLV: #147