parse_dtc

Parse SDTM-style datetime strings into POSIXct.
Accepts "YYYY-MM-DDTHH:MM:SS", "YYYY-MM-DDTHH:MM",
"YYYY-MM-DD HH:MM:SS", "YYYY-MM-DD HH:MM", or "YYYY-MM-DD".
POSIXct / Date inputs are returned coerced to POSIXct.

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

parse_dtc function

<dl><dt>x</dt>
<dd>character vector (or POSIXct/Date) of datetime values.</dd>
<dt>tz</dt>
<dd>time zone. Default "UTC".</dd></dl>

Arguments

Parse SDTM-Style DTC Strings into POSIXct — parse_dtc

<dl>

<dt>x</dt>
<dd>character vector (or POSIXct/Date) of datetime values.</dd>


<dt>tz</dt>
<dd>time zone. Default "UTC".</dd>

</dl>

parse_dtc: Parse SDTM-Style DTC Strings into POSIXct

Description

Usage

Value

Arguments