add_crcl_cg

Add a CRCL column to a NM-style data.frame using Cockcroft-Gault.
Column names are configurable.

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

add_crcl_cg function

<dl><dt>df</dt>
<dd>data.frame containing AGE, BWT, SEX, CREA columns.</dd>
<dt>age_col</dt>
<dd>name of the age column (years). Default "AGE".</dd>
<dt>bwt_col</dt>
<dd>name of the body-weight column (kg). Default "BWT".</dd>
<dt>sex_col</dt>
<dd>name of the sex column (0=M, 1=F). Default "SEX".</dd>
<dt>crea_col</dt>
<dd>name of the creatinine column (mg/dL). Default "CREA".</dd>
<dt>out_col</dt>
<dd>name of the output column. Default "CRCL".</dd></dl>

Arguments

Add CRCL Column via Cockcroft-Gault — add_crcl_cg

<dl>

<dt>df</dt>
<dd>data.frame containing AGE, BWT, SEX, CREA columns.</dd>


<dt>age_col</dt>
<dd>name of the age column (years). Default "AGE".</dd>


<dt>bwt_col</dt>
<dd>name of the body-weight column (kg). Default "BWT".</dd>


<dt>sex_col</dt>
<dd>name of the sex column (0=M, 1=F). Default "SEX".</dd>


<dt>crea_col</dt>
<dd>name of the creatinine column (mg/dL). Default "CREA".</dd>


<dt>out_col</dt>
<dd>name of the output column. Default "CRCL".</dd>

</dl>

add_crcl_cg: Add CRCL Column via Cockcroft-Gault

Description

Usage

Value

Arguments