RmvCol

internal

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

RmvCol function

<dl><dt>Tab</dt>
<dd>data.frame</dd>
<dt>OldCols</dt>
<dd>character vector of column names to remove</dd></dl>

Arguments

Remove Columns from Table — RmvCol

<dl>

<dt>Tab</dt>
<dd>data.frame</dd>


<dt>OldCols</dt>
<dd>character vector of column names to remove</dd>

</dl>

RmvCol: Remove Columns from Table

Description

Usage

Value

Arguments