choose_order: Choose order for Markov model.

In ChannelAttribution: Markov Model for Online Multi-Channel Attribution

Choose order for Markov model.

Description

Find the minimum Markov Model order that gives a good representation of customers' behaviour for data considered. It requires paths that do not lead to conversion as input. Minimum order is found maximizing a penalized area under ROC curve.

Usage

choose_order(Data, var_path, var_conv, var_null, max_order=10, sep=">", 
             ncore=1, roc_npt=100, plot=TRUE, flg_adv=TRUE)

Arguments

Data	data.frame containing customer journeys.
var_path	column name of Data containing paths.
var_conv	column name of Data containing total conversions.
var_null	column name of Data containing total paths that do not lead to conversion.
max_order	maximum Markov Model order considered.
sep	separator between channels.
ncore	number of threads used in computation.
roc_npt	number of points used for approximating roc and auc.
plot	if TRUE, a plot with penalized auc with respect to order will be displayed.
flg_adv	if TRUE, ChannelAttribution Pro banner is printed.

Value

An object of class List with the estimated roc, auc and penalized auc.

Author(s)

Davide Altomare ([e-mail]).

Examples

## Not run: 

library(ChannelAttribution)

data(PathData) 

res=choose_order(Data, var_path="path", var_conv="total_conversions",
                 var_null="total_null")

#plot auc and penalized auc	   
	   
plot(res$auc$order,res$auc$auc,type="l",xlab="order",ylab="pauc",main="AUC")
lines(res$auc$order,res$auc$pauc,col="red")
legend("right", legend=c("auc","penalized auc"), 
       col=c("black","red"),lty=1)


## End(Not run)

ChannelAttribution documentation built on May 31, 2023, 9:26 p.m.