conjoint (version 1.35)

caBTL: Function caBTL estimates participation (market share) of simulation profiles

Description

Function caBTL estimates participation of simulation profiles using probabilistic model BTL (Bradley-Terry-Luce). Function returns vector of percentage participations. The sum of participation should be 100%.

Usage

caBTL(sym, y, x)

Arguments

sym

matrix of simulation profiles

y

matrix of preferences

x

matrix of profiles

References

Bak A. (2009), Analiza Conjoint [Conjoint Analysis], [In:] Walesiak M., Gatnar E. (Eds.), Statystyczna analiza danych z wykorzystaniem programu R [Statistical Data Analysis using R], Wydawnictwo Naukowe PWN, Warszawa. Green P.E., Srinivasan V. (1978), Conjoint Analysis in Consumer Research: Issues and Outlook, "Journal of Consumer Research", September, 5, 103-123. SPSS 6.1 Categories (1994), SPSS Inc., Chicago.

See Also

caLogit and caMaxUtility

Examples

#Example 1
library(conjoint)
data(herbata)
simutil=caBTL(hsimp,hpref,hprof)
print("Percentage participation of profiles: ", quote=FALSE)
print(simutil)

#Example 2
library(conjoint)
data(czekolada)
simutil=caBTL(csimp,cpref,cprof)
print("Percentage participation of profiles:", quote=FALSE)
print(simutil)