QiniTable: A function to compute the performance of an uplift estimator.

In fzettelmeyer/mktg482: Functions needed for MKTG 482

Description

Adapted from QiniTable in the tools4uplift package by Florian Zettelmeyer to ensure that the n-tiles are calculated based on the treatment observations, not the stacked observations..

Usage

QiniTable(data, treat, outcome, prediction, nb.group = 10)

Arguments

data:	a data frame containing the treatment, the outcome and the predictors.
treat:	name of a binary (numeric) vector representing the treatment assignment (coded as 0/1)
outcome:	name of a binary response (numeric) vector (coded as 0/1)
prediction:	a score to sort the observations from highest to lowest uplift or propensity.
nb.group:	(optional, default = 10)

Examples

QiniTable(
 expdata_stacked.test,
 treat = "ad",
 outcome = "converted",
 prediction = "score_logitFit_treat",
 nb.group = 20
)

fzettelmeyer/mktg482 documentation built on May 26, 2020, 2:26 p.m.