PopED 0.1.2 available from CRAN

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 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 http://www.farmbio.uu.se/research/researchgroups/pharmacometrics/