locf_value

For each target time, return the most-recent source value at
source_t &lt;= target_t (LOCF). If no preceding source exists, return the
earliest source_v at source_t &gt; target_t (LOCB). Empty source returns
<code>fallback</code> for all targets.

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

locf_value function

<dl><dt>target_t</dt>
<dd>vector of target times (numeric or POSIXct).</dd>
<dt>source_t</dt>
<dd>vector of source times (same type as target_t).</dd>
<dt>source_v</dt>
<dd>numeric vector of source values, parallel to source_t.</dd>
<dt>fallback</dt>
<dd>value used when no source is available. Default NA.</dd></dl>

Arguments

LOCF / LOCB Lookup — locf_value

<dl>

<dt>target_t</dt>
<dd>vector of target times (numeric or POSIXct).</dd>


<dt>source_t</dt>
<dd>vector of source times (same type as target_t).</dd>


<dt>source_v</dt>
<dd>numeric vector of source values, parallel to source_t.</dd>


<dt>fallback</dt>
<dd>value used when no source is available. Default NA.</dd>

</dl>

locf_value: LOCF / LOCB Lookup

Description

Usage

Value

Arguments