rank_new

Performs a custom ranking of a numeric vector,and ajusts the ranks of values that
differ by less than a specified threshold, ensuring they receive the same rank.

Automated population pharmacokinetic modeling framework for
data-driven initialisation, model evaluation, and metaheuristic
optimization. Supports genetic algorithms, ant colony optimization,
tabu search, and stepwise procedures for automated model selection
and parameter estimation within the nlmixr2 ecosystem.

Zhonghui Huang

nlmixr2auto

Automated Population Pharmacokinetic Modeling

Joseph Standing

Matthew Fidler

Frank Kloprogge

rank_new function

<dl><dt>x1</dt>
<dd>A numeric vector to be ranked.</dd>
<dt>diff_tol</dt>
<dd>A numeric value specifying the significance difference threshold.
Values within this threshold are considered equal and receive the same rank.</dd></dl>

Arguments

Author

Ranking with significance difference threshold — rank_new

<dl>

<dt>x1</dt>
<dd>A numeric vector to be ranked.</dd>


<dt>diff_tol</dt>
<dd>A numeric value specifying the significance difference threshold.
Values within this threshold are considered equal and receive the same rank.</dd>

</dl>

rank_new: Ranking with significance difference threshold

Description

Usage

Value

Arguments

Author

Examples