NMVarStat

Computes statistics for each variable in a NONMEM dataset including
counts of NA, zero, positive values, unique values, and functional
dependency checks.

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

NMVarStat function

<dl><dt>NMTable</dt>
<dd>data.frame of NONMEM data</dd></dl>

Arguments

NONMEM Variable Statistics — NMVarStat

<dl>

<dt>NMTable</dt>
<dd>data.frame of NONMEM data</dd>

</dl>

NMVarStat: NONMEM Variable Statistics

Description

Usage

Value

Arguments