# Inverse prediction

**URL:** <https://discourse.julialang.org/t/inverse-prediction/59535>\
**Category:** Statistics\
**Created:** [April 18, 2021, 12:19pm UTC](https://discourse.julialang.org/t/inverse-prediction/59535 "2021-04-18T12:19:36Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![riot](https://avatars.discourse-cdn.com/v4/letter/r/6bbea6/32.png) [@riot](https://discourse.julialang.org/u/riot)\
**Post date:** [April 18, 2021, 12:19pm UTC](https://discourse.julialang.org/t/inverse-prediction/59535/1 "2021-04-18T12:19:36Z")

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I am looking for a way to do what I used to do with the DRC-package in R. Especially the prediction of x given y (inverse prediction e.g. in probit dose-response models). In R I used the functin ED() for this. Is there any function in Julia to do this? Rearranging the regression model of y on x is no option as I need correct confidence limits for the prediction. Something like “inverse.predict(glmmodel,newdata=50)”?