ms.fe.conjoint: This function computes the market share of product profiles

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

Description

This function computes the market share of product profiles according to the first choice rule. Uses treatment effects to estimate part worth utilities of profiles; the matrix of profiles for which we are going to compute market profiles is a matrix of existing 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.fe.conjoint(market.profiles, ratings, bundles, rank = 0)

Arguments

market.profiles	a data frame with the description of competitors' existing product profiles
ratings	a data frame 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$osc
names(osc)
sapply(osc, class)
sapply(osc$market.proiles, class)
ms.fe.conjoint(osc$market.profiles, osc$ratings, osc$bundles)
class(ms.fe.conjoint(osc$market.profiles, osc$ratings, osc$bundles))

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