CLVTools 0.10.0
NEW FEATURES
- We add an interface to specify models using a formula notation (
latentAttrition()
andspending()
) - 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