||MONOLIX (MOdèles NOn LInéaires à effets miXtes) is a software developed by INRIA with the cooperation of scientists, members of Group Monolix. Programmed in MATLAB this software uses the algorithm SAEM. Various modules were developed among which the classic models in PK-PD, graphical ouput, handling of values below the limit of quantification...
NONMEM® (NON linear Mixed Effect Models) software was developped by the NONMEM Project at the University of California at San Francisco. Since 1979, the project was managed by Lewis Sheiner, Stuart Beal and Alison Boeckmann. Today ICON Development Solutions is the licensor of the software.
||PFIM (acronym of Population Fisher Information Matrix) is a set of tools developed under R for the evaluation and the optimization of designs in population PK-PD studies.
||Xpose is an R-based model building aid for population analysis using NONMEM®. This interface developed under R and under S + facilitates data checkout, identification of covariables, model diagnostics and model comparison. The development was performed by a team of scientists at Uppsala University in Sweden.
||Perl-speaks-NONMEM (PsN) is a collection of Perl modules and programs aiding in the development of models using NONMEM®. It allows parameter estimate extraction from output files, data file sub setting and resampling, advanced computer-intensive statistical methods.
|Wings for NONMEM®
||WFN (Wheels for NONMEM) is a set of DOS batch command files and awk scripts to help NONMEM® users be more productive. The first version of WFN was written in 1989 at UC San Francisco. Among all its features, it allows to start multiple NONMEM® runs from the same directory, give ordered listing of results according to objective function value, bootstrap analysis of any NONMEM® model...
||BUGS (Bayesian inference Using Gibbs Sampling) is a program developed for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. BUGS version 0.6 can handle a wide range of models including linear mixed-effect models. The 1.4 version of WinBUGS is currently available and is capable of fitting non-linear mixed effect models.
||WinPOPT and POPT are a set of programs for optimization of nonlinear mixed effects models used in PK-PD population data analysis. The programs are written in MATLAB but may be used independently of MATLAB.