[NMusers] PopED 0.1.2 available from CRAN

From: Andrew Hooker <Andrew.Hooker_at_farmbio.uu.se>
Date: Tue, 25 Nov 2014 12:34:38 +0000

Hi All,

I am very pleased to announce that PopED 0.1.2 is available from CRAN. PopED is a tool that computes 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 (FIM).

Get the latest version by running at your R command prompt:

install.packages("PopED")

New for this release:

  * An updated model_prediction() function to allow for creation of NONMEM datasets with user defined or optimized designs. This is useful for testing optimized designs via PsN's (http://psn.sf.net) SSE tool, for example.
  * Added new examples to the system.file("examples",package="PopED") directory of the PopED installation including
     * evaluation and optimization of a one-target quasi-steady-state target mediated drug disposition model (TMDD)
     * How to write compiled model code for 10-100 times speed-up of calculation time.
  * Improvements in the computation of the global design criteria “ED" via the Laplace approximation.
  * Various small bug fixes.

Please see the release notes<https://github.com/andrewhooker/PopED/releases/tag/v0.1.2> for a complete list of changes.

More information about PopED can be found at http://poped.sourceforge.net.

Best regards
Andrew

Andrew Hooker, Ph.D.
Associate Professor of Pharmacometrics
Dept. of Pharmaceutical Biosciences
Uppsala University
Box 591, 751 24, Uppsala, Sweden
Phone: +46 18 471 4355
Mobile: +46 768 000 725
www.farmbio.uu.se/research/researchgroups/pharmacometrics/<http://www.farmbio.uu.se/research/researchgroups/pharmacometrics/>





Received on Tue Nov 25 2014 - 07:34:38 EST

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