% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/person.R
\name{person_wle}
\alias{person_wle}
\title{Warm's weighted likelihood estimates by raw score}
\usage{
person_wle(tau_list, disc = 1)
}
\arguments{
\item{tau_list}{List of per-item threshold vectors.}

\item{disc}{Common discrimination (frame unit) of the items; with a
constant discrimination the raw score remains sufficient.}
}
\value{
A list with \code{theta} and \code{se}, each named by raw score.
}
\description{
Computes the weighted likelihood estimate (WLE) of person location for every
possible raw score on a set of items, with standard errors. WLE estimates
are finite at the extreme (zero and maximum) scores, unlike the maximum
likelihood estimate.
}
\examples{
person_wle(list(c(-1, 0), c(-0.5, 0.5), c(0, 1)))
}
