New feature: testing difference in coefficients?

[Ales-G]

Hello,
I have more a question for a feature addition if it does not exists already.

I was wondering whether there is a way to test whether coefficients are different from one another across attributes?
Take the following model in WTP space

mnl_wtp <- logitr(
  data     = yogurt,
  outcome  = "choice",
  obsID    = "obsID",
  pars     = c("feat", "brand"),
  scalePar = "price"
)

summary(mnl_wtp)
Model Coefficients:
Estimate Std. Error z-value Pr(>|z|)
scalePar 0.366583 0.024366 15.0448 < 2.2e-16 ***
feat 1.340593 0.355867 3.7671 0.0001651 ***
brandhiland -10.135764 0.576089 -17.5941 < 2.2e-16 ***
brandweight -1.749083 0.179898 -9.7226 < 2.2e-16 ***
brandyoplait 2.003821 0.142377 14.0740 < 2.2e-16 ***

Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1

Log-Likelihood: -2656.8878779
Null Log-Likelihood: -3343.7419990
AIC: 5323.7757559
BIC: 5352.7168000
McFadden R2: 0.2054148
Adj McFadden R2: 0.2039195
Number of Observations: 2412.0000000

Is there a way for me to test directly if for example the coefficient of `feat` and `brandyoplait` are the same? 

thank you very much in advance for your help on this!

best

[jhelvy]

I'm not sure I understand your question. What do you mean by "test whether coefficients are different from one another across attributes?"