I have a sample of measurements from a real life device which misses all the measurements that are less than some threshold (given device is not precise enough).
From theory and also measurements from more precise devices I know that the data distributed very closely to Gumbel distribution.
I found parameters of a Gumbel distribution for a given sample with MLE and now I want to generate "perfect" missing values and add them to the sample.
I am not sure what is the easiest way to do that in R. I have my sample and sample size, obviously. I want to create a copy of it and then add some values using theoretical PDF.