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Tip revision: 4936034770c69a8db2855f46f578e34116ffa383 authored by Dominique Makowski on 20 October 2019, 06:20 UTC
version 0.4.0
Tip revision: 4936034
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/estimate_density.R
\title{Density Probability at a Given Value}
density_at(posterior, x, precision = 2^10, method = "kernel", ...)
\item{posterior}{Vector representing a posterior distribution.}

\item{x}{The value of which to get the approximate probability.}

\item{precision}{Number of points of density data. See the \code{n} parameter in \link[=density]{density}.}

\item{method}{Density estimation method. Can be \code{"kernel"} (default), \code{"logspline"} or \code{"KernSmooth"}.}

\item{...}{Currently not used.}
Compute the density value at a given point of a distribution (i.e., the value of the \code{y} axis of a value \code{x} of a distribution).
posterior <- distribution_normal(n = 10)
density_at(posterior, 0)
density_at(posterior, c(0, 1))
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