BTYDplus
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mplatzer
R package for Customer Behavior Analysis
Hi! I have read all about the MBG/NBD-k model and really think it's great. However when I have large amounts of data, it doesn't work for estimating (NaN) is there...
how we can deal with big data when we use of BTYDplus? What is the most effective way. we have more than 1 billiard data with 40 million customers.
@mplatzer Thank you for sharing awesome library. I'm constructing an abe model using your library and I have a question for extracting customer level's mu and lambda. I want to...
``` Error in mcmc.list(lapply(draws, function(draw) draw$level_1[[i]])) : Arguments must be mcmc objects In addition: Warning message: In mclapply(1:chains, function(i) run_single_chain(i, cal.cbs, hyper_prior), : scheduled cores 1, 2, 8 did not...
Sometimes a sales is registered but but with a total amount of zero. For example, cust number 87, 155 and 227 in the cdnow data. These are considered as sales...
this may be a dumb one... The model mbg-cnbd-k.R has the ConditionalExpectedTransactions function, where there is code to correct for bias. My question is: why **length >= 100**? is this...
Hi! First, thanks a lot for the package. Really useful stuff here. I noticed what I think is a bug in xbgcnbd.PlotFrequencyInCalibration (and potentially in mcmc.PlotFrequencyInCalibration, but I didn't use...
``` structure(list(cust = c(103523979L, 106539747L, 109669649L, 114536229L, 115893543L, 115959927L, 117271474L, 121815850L, 123091742L, 123545940L, 126225453L, 126396424L, 126844622L, 126963045L, 132218991L, 133320753L, 134979819L, 135327695L, 136081180L, 136651599L, 137087039L, 138027869L, 138717722L, 139202404L, 141638965L, 142495136L, 143705614L,...