crcl_cg

Cockcroft-Gault creatinine clearance (mL/min).

This shows how NONMEM(R) software works. NONMEM's classical
estimation methods like 'First Order(FO) approximation', 'First Order
Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.
Additionally, provides functions for post-run processing of NONMEM output
files, generating comprehensive PDF diagnostic reports including objective
function value analysis, parameter estimates, prediction diagnostics,
residual diagnostics, empirical Bayes estimate (EBE) analysis, input data
summary, and individual pharmacokinetic parameter distributions.

Kyun-Seop Bae

Understanding Nonlinear Mixed Effects Modeling for Population
Pharmacokinetics

crcl_cg function

<dl><dt>age</dt>
<dd>numeric, age in years.</dd>
<dt>bwt</dt>
<dd>numeric, body weight in kg.</dd>
<dt>sex</dt>
<dd>integer/numeric, 0 = male, 1 = female.</dd>
<dt>crea</dt>
<dd>numeric, serum creatinine in mg/dL.</dd></dl>

Arguments

Cockcroft-Gault Creatinine Clearance — crcl_cg

<dl>

<dt>age</dt>
<dd>numeric, age in years.</dd>


<dt>bwt</dt>
<dd>numeric, body weight in kg.</dd>


<dt>sex</dt>
<dd>integer/numeric, 0 = male, 1 = female.</dd>


<dt>crea</dt>
<dd>numeric, serum creatinine in mg/dL.</dd>

</dl>

crcl_cg: Cockcroft-Gault Creatinine Clearance

Description

Usage

Value

Arguments