ms.logit.conjoint: Computes the market share of the product profiles

In jlopezsi/MDSConjoint: An implementation of metric and nonmetric conjoint models for marketing decisions

Description

This function computes the market share of the product profiles according to the logit rule. It uses treatment effects to estimate part worths of profiles; profiles is a matrix of product profiles in the market (rows) by attributes (columns); ratings is a matrix of clients (rows) by bundles rated (colums); bundles is a matrix of bundles (rows) by attributes (colums)

Usage

ms.logit.conjoint(market.profiles, ratings, bundles, rank = 0)

Arguments

market.profiles	a matrix with the description of competitors' product profiles
ratings	a data frame with all clients' ratings
bundles	a data frame with all product profiles rated by clients
rank	if rank==1, then transform a ranking into utilities

Value

ms

Examples

data(MDSConjointData)
names(MDSConjointData)
osc<- MDSConjointData$osc
names(osc)
ms.logit.conjoint(osc$market.profiles, osc$ratings, osc$bundles)
class(ms.logit.conjoint(osc$market.profiles, osc$ratings, osc$bundles))

jlopezsi/MDSConjoint documentation built on May 19, 2019, 12:48 p.m.