% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/complexity.R
\name{get_complex}
\alias{get_complex}
\title{Compute conceptual complexity scores}
\usage{
get_complex(
  text,
  bootstrap = FALSE,
  B = 1000,
  quote_strip = TRUE,
  window_chars = 40
)
}
\arguments{
\item{text}{A character string containing the speech text to analyse.}

\item{bootstrap}{Logical; if \code{TRUE}, return bootstrapped mean and
variance estimates. Default is \code{FALSE}.}

\item{B}{Integer; number of bootstrap replicates. Default is 1000.}

\item{quote_strip}{Logical; if \code{TRUE}, remove quoted text before
counting. Default is \code{TRUE}.}

\item{window_chars}{Integer; number of characters to look back for
negation context. Default is 40.}
}
\value{
A one-row \code{\link[tibble]{tibble}}. When \code{bootstrap = FALSE},
columns are \code{HC} and \code{LC}. When \code{bootstrap = TRUE}, columns
are \code{meanHC}, \code{varHC}, \code{meanLC}, \code{varLC}.
}
\description{
Counts high-complexity (HC) and low-complexity (LC) markers in the text,
using word stems, phrases, and exact words with negation-aware counting.
}
