ashDensity

Estimate density of distribution employing the R package "ash" using R-wrapper function.

Indirect method for the estimation of reference intervals (RIs)
using Real-World Data ('RWD') and methods for comparing and verifying RIs.
Estimates RIs by applying advanced statistical methods to routine
diagnostic test measurements, which include both pathological and
non-pathological samples, to model the distribution of non-pathological
samples. This distribution is then used to derive reference intervals
and support RI verification, i.e., deciding if a specific RI is suitable
for the local population. The package also provides functions for
printing and plotting algorithm results. See ?refineR for a detailed
description of features. Version 1.0 of the algorithm is described in
'Ammer et al. (2021)' <doi:10.1038/s41598-021-95301-2>. Additional
guidance is in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>. The
verification method is described in 'Beck et al. (2025)'
<doi:10.1515/cclm-2025-0728>.

Matthias Beck

refineR

Reference Interval Estimation using Real-World Data

Tatjana Ammer

Christopher M Rank

Andre Schuetzenmeister

ashDensity function

<dl><dt>x</dt>
<dd>(numeric) vector of data points</dd>
<dt>ab</dt>
<dd>(numeric) vector of lower and higher truncation limit of density estimation</dd>
<dt>nbin</dt>
<dd>(integer) specifying the number of bins used for density estimation</dd>
<dt>m</dt>
<dd>(integer) specifying the width of the smoothing kernel(s) used for density estimation</dd>
<dt>kopt</dt>
<dd>(integer) vector specifying the smoothing kernel</dd>
<dt>normToAB</dt>
<dd>(logical) specifying if the density is normed to the interval ab or to all data points in x</dd></dl>

Arguments

Christopher Rank <a href="/link/christopher.rank%40roche.com?package=refineR&version=2.0.0" data-mini-rdoc="refineR::christopher.rank@roche.com">christopher.rank@roche.com</a>, Tatjana Ammer <a href="/link/tatjana.ammer%40roche.com?package=refineR&version=2.0.0" data-mini-rdoc="refineR::tatjana.ammer@roche.com">tatjana.ammer@roche.com</a>

Author

Estimate density of distribution employing the R package "ash" using R-wrapper function. — ashDensity

<dl>

<dt>x</dt>
<dd>(numeric) vector of data points</dd>


<dt>ab</dt>
<dd>(numeric) vector of lower and higher truncation limit of density estimation</dd>


<dt>nbin</dt>
<dd>(integer) specifying the number of bins used for density estimation</dd>


<dt>m</dt>
<dd>(integer) specifying the width of the smoothing kernel(s) used for density estimation</dd>


<dt>kopt</dt>
<dd>(integer) vector specifying the smoothing kernel</dd>


<dt>normToAB</dt>
<dd>(logical) specifying if the density is normed to the interval ab or to all data points in x</dd>

</dl>

Christopher Rank <a href='mailto:christopher.rank@roche.com'>christopher.rank@roche.com</a>, Tatjana Ammer <a href='mailto:tatjana.ammer@roche.com'>tatjana.ammer@roche.com</a>

ashDensity: Estimate density of distribution employing the R package "ash" using R-wrapper function.

Description

Usage

Value

Arguments

Author