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Bootstrapped robust linear models in R
Make general M-estimation and S-estimation functions. The current MM-estimator will call those functions in place of its current monolithic design.
Save the results of sample_noreplace in lqs_fitlots from the first replicate and reuse for subsequent replicates.
Support bootstrapping of residuals. Will require a 1) a new class Boot, 2) move current observation bootstrap class Boot to subclass, 3) new residual bootstrap subclass
Support parallel processing of bootstrap replicates via RcppParallel.
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