tryCatch.W.E

Catch *and* save both errors and warnings, and in the case of
a warning, also keep the computed result.

internal

Optimal experimental designs for both population and individual
studies based on nonlinear mixed-effect models. Often this is based on a
computation of the Fisher Information Matrix. This package was developed
for pharmacometric problems, and examples and predefined models are available
for these types of systems. The methods are described in Nyberg et al.
(2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004)
<doi:10.1016/S0169-2607(03)00073-7>.

Andrew C. Hooker

PopED

Population (and Individual) Optimal Experimental Design

Marco Foracchia

Eric Stroemberg

Martin Fink

Giulia Lestini

Sebastian Ueckert

Joakim Nyberg

tryCatch.W.E function

<dl><dt>expr</dt>
<dd>an R expression to evaluate</dd></dl>

Arguments

Author

tryCatch both warnings (with value) and errors — tryCatch.W.E

<dl>

<dt>expr</dt>
<dd>an R expression to evaluate</dd>

</dl>

tryCatch both warnings (with value) and errors

tryCatch.W.E: tryCatch both warnings (with value) and errors

Description

Usage

Value

Arguments

Author