Description Usage Arguments Value Examples
This function computes the market share of product profiles according to the utility share rule (also known as BTL rule). Uses treatment effects for estimating part worths of profiles; is the data frame of profiles for which we are going to compute market 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).
1 | ms.us.conjoint(market.profiles, ratings, bundles, rank = 0)
|
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 |
ms
1 2 3 4 5 | data(MDSConjointData)
names(MDSConjointData)
osc<-MDSConjointData$osc
ms.us.conjoint(osc$market.profiles, osc$ratings, osc$bundles)
class(ms.us.conjoint(osc$market.profiles, osc$ratings, osc$bundles))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.