PopED for R version 0.2.0 is now released
PopED for R version 0.1.2 is now released
PopED for R version 0.1.1 is now released
PopED for R version 0.1.0 is now released
PopED for Matlab version 2.13 is now released 2012-06-05 00:46 - PopED
PopED for Matlab version 2.12 is now released 2011-06-05 00:46 - PopED
PopED for Matlab version 2.11 is now released 2010-08-18 13:55 - PopED
PopED for Matlab version 2.10 is now released 2009-07-15 11:34 - PopED
PopED for Matlab Version 2.09 is now released 2009-06-18 12:36 - PopED
|Features of PopED for R|
New features for each release can be found at https://github.com/andrewhooker/PopED/blob/master/NEWS
|Features of PopED 2.13 for Matlab|
A run file can be used within PopED and used from the GUI. This enables more advanced features such as adaptive designs, repetead runs of PopED, pre- and post processing of PopED runs etc.
A completely user defined model file can now be specified within the GUI. This enables more advanced models (i.e. vectorized multiple models) to be entered directly in the GUI instead of linking to an external model file.
Installing PopED is further automized and easier to setup. I.e. paths are automatically updated within the installation wizard.
The job manager are now allowed to do parallel work (Open MPI)
|Features of PopED 2.12 for Matlab|
|Features of PopED 2.11 for Matlab|
PopED could now be run in the free open source software Freemat instead of Matlab.
A Laplace approximation (when using global optimal design) is available.
Ds - criterion is added to the GUI. Enables optimization on a subset of interesting parameters but still keeps the correlation to the non-interesting parameters.
More accurate translation between parameter names and the g-vector. Now; comments and subexpression is not translated. (Model tab).
Recent files are added to the GUI, the 20 most recent files are added under the file menu/recent files...
The efficiency plot could now mark the same proportions as the reference design or exclusively plot the same proportions efficiency translation.
Automatic differentiation (AD) is available. The functionality is only available if INTLab is installed.
A yellow hint windows shows the parameter definition in the parameter values tab. Easier to keep track which parameter you are working with.
It is possible to make a run_summary from a function_output file. The run summary will provide the optimal samples times, RSE%, confidence interval etc. in either matlab format or xml-format.
A model discrimination example is provided.
The current optimal values could be stored in a file during search, enables functionality to start from the last iteration (e.g. after a system crash).
The RS, LS and MFE algorithms are slightly updated to give as faster convergence.
|Features of PopED 2.10 for Matlab|
PopED GUI could now run with Mono as run time engine. This enables the GUI to work on other systems than Windows where Mono 2.4 is installed.
Matlab 2009 is now supported in the COM server and the command line.
A new tool is enabled that allows the efficiency of a design to be translated to the number of individuals needed to get the same information as the reference design. See the manual for more information of this function.
|Features of PopED 2.09 for Matlab|
A global structure is defined in the script version - making all the function calls more efficient and it is now possible to access all information in any user defined function.
|Features of PopED 2.08 for Matlab|
Anchors used in the GUI, to use screen space more efficiently.
|Features of PopED 2.07 for Matlab|
Closed form solutions to linear homogeneous ordinary differential equations and closed form solutions to linear inhomogeneous odes with a constant time-independent term. This features can be used as a replacement of the <diff> tag in the model definition and will be much faster. <diff_lin> or <diff_lin_inhomc> could now be used instead (for linear odes). Use the predefined analytic solutions to e.g. the 3-compartment model, because it will still be faster. See the PopED exampel with "3 different drugs" for an extended exampel about the linear solvers.
Possibility to rename all auto-created files in the GUI. I.e. the model (ff_.m), the residual varability model (feps.m) and the parameter model (sfg.m) could be renamed. This could prevent files from being overwritten when the parameter structure/the model or the residual model changes.
|Features of PopED 2.06 for Matlab|
Possible to use a full omega matrix, i.e. correlation between IIV parameters. Available in the script version and the GUI.
Possible to fix residual varability terms and use typical values as residual parameters.
A new exact algorithm for optimizing number of indivduals per group is implemented.
Total max number of individuals for all groups and the minimum total number of individuals in all groups could be defined.
3d-plot can plot group size in group a vs group size in group b.
Simulation function could now simulate with different residual varability samples for each time point and also covers correlation between IIV samples. It is also more stable when simulating and plotting a large number of simulations (>1000). Option to simulate only with the intial sample points.
Latin hypercube sampling can be used in ED-optimal design. This is often more robust than normal sampling and might require less ED-samples.
|Features of PopED 2.05 for Matlab|
Possibility to optimize on the first order approximation based on simulated individual inter individual variability (FOCE).
Possibility to optimize based on the first order approximation with interaction on the residual model (FOCEI).
Improved feature in the GUI to distinguish between evaluation and optimization.
User defined distributions available in the GUI.
Log-normal distribution for ED-optimal design in the GUI.
Zero-truncated normal distribution for ED-optimal design in the GUI.
Improved speed when simulating and plotting the model. Not necessary to fetch the simulated data in the GUI.
An anlytic solution to the Michaelis Menten equation available in the model templates.
|Features of PopED 2.01 for Matlab|
Further support for Complex differentiation in GUI and script version.
|Features of PopED 2.0 for Matlab|
Optimization on sub-models (multiple response models, e.g. PK-PD).
Optimization on sample times, other design parameters (e.g. dose, covariates etc), number of samples and number of individuals.
ED and D-optimal design.
User defined distributions for model parameters in ED-optimal design.
User defined residual variability model.
User defined inter individual variability model.
Grouping of time points/covariates between models and between subjects.
Ability to use analytic derivatives for calculations of the Fisher Information Matrix (FIM).
Model template library with user defined templates possible.
Diagnostic tools in PopED 2.0
Plot model typical values.
Simulate with model.
Plot model optimization result.
Plot Fisher Information Surface or standard error of parameter surface against design parameters.