% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/30_dfb_block-maxima.R
\name{dfb_bmx}
\alias{dfb_bmx}
\title{Set Influence Block Maxima}
\usage{
dfb_bmx(X, R, set, block_count)
}
\arguments{
\item{X}{Vector of predictor values}

\item{R}{Vector of residual values}

\item{set}{Vector of indices for the influential observation set}

\item{block_count}{Number of blocks to divide the data into}
}
\value{
Numeric vector of block maxima DFBETA values
}
\description{
Detects DFBETA block-maxima for extreme value analysis. Divides data into
blocks and iteratively selects the most extreme DFBETA values greedily
within each block to create a sample suitable for EVD fitting.
}
