r regression confidence-interval non-linear-regression

Is there an R function for computing 95% confidence interval of interpolated X from an nls model?

I fitted a simple Imax model of the form: Y = I0 - [(Imax*X)/(IC50 + X)] using nls function in R. Using a measured Y = 'n', I estimated X = 'm'. Is there a function in R to compute 95% confidence intervals around 'm'?

Thank you!

Solution

See invest in the investr package.

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