"conditional dependence" in Bayesian analysis

Modeling
1

Hey there!

I am working with Bayesian data analysis with BRMS as ‘a real novice’!

I need to resolve an issue where I need something like conditioning the dependent variable.
for example, something like Y|y’ ~ ß1X1 + ß2X2 + ßnXn; where y’ is the condition to the dependent variable, Y, and X1…Xn are the independent variables.

The real data and case I am working with is the adoption of technology by various stakeholders. A vehicle owner or a driver says I would adopt the technology if I am paid $xxx daily to cover any unforeseen uncertainty from adoption. Willingness to adopt is my dependent variable, and the condition is the daily cash demand.

I need your help approaching this in Bayesian analysis with BRMS!

Thanks.
Aruho

2

For help with coding in brms, it may help get responses by posting some code you tried, even if it doesn’t work.

3

I don’t have any code that I have tried. I did one without any conditioning. I have read, but cannot find any leads.

4

Hey there,
This is what I have tried now and it brings me an error.

fit_VehOwnsWTA_CFC1 ← brm(WTACFCPresState|CashToAcceptCFC~.,

  •                   data = VehOwners_Catvars, family = gaussian(link = "identity"),

  •                   iter = 4000, refresh = 0, chains = 4)

Error: The following addition terms are invalid:
‘CashToAcceptCFC’