Ayush Patnaik

I will implement this, and later we can decide on something better.

Implementing the following: ```julia abstract type AbstractEstimate end struct Estimate{statistic}

We need to do something about tests. If we can't match answers with R, or any other language, it won't be good to merge this.

We need to update all the functions and think carefully. How about: ``` abstract type ReplicateDesign end struct BootstrapDesign

Implement finite population correction like in R. Read Lohr on this.

The formula is ``` FPC = sqrt[(N - n)/(N - 1)] ``` Where: N is the population size n is the sample size But the issue is that the population...

Just like `svyby` in R, perhaps we can modify it and export it to the user, so it works on any arbitrary function.

I think we should directly aim for JKn. JK1 doesn't work on stratified sample.

We've added a warning regarding this. Shall we close this issue for now?

@iuliadmtru can you see if such a macro is possible?