Censored predictor variables?

[stemangiola]

@paul.buerkner sorry to pick this conversation up again.

I would like to add a censored predictor to my hierarchical linear model.

Regression with censored explanatory variable

Dear Community, I would like to implement a linear model with censored explanatory variable y ~ censored(x, censoring_variable) In other terms the x coordinate sometime can be observed until a certain point, and the real value can be bigger. [image] So far I have seen just examples of censoring on the response variable (y axis). bf(y | cens(censor_variable) ~ predictors) It is like survival model, but I’m not sure why time is still on the response brm(time|cens(1-status)~1+x, data=..., …

Could you please point me to some resource if there is any?