PopED News/Changelog
PopED 0.3.2
===========
* Exported the `summary` method for the results of `poped_optim` in the PopED NAMESPACE, so that the method can actually be used! Just use `summary(output)`.
* Fixed some old bugs that used `return` as a varible in functions, a la MATLAB.
PopED 0.3.1
===========
* Added a vignette to introduce PopED!
* Improved optimization with `poped_optim`, plus all example scripts now running with `poped_optim`.
* Update to more easily allow discrete optimization of xt and a variables. See the example scripts.
* Added a summary method for the results of `poped_optim`. Just use `summary(output)`.
* changed handling of seed numbers in optimizations.
* more robust handling of non-population models
* more natural handling of NA values in design vectors
* NAMESPACE: removed ggplot2 from "Depends" and added to "Imports"
* Added mean line to efficiency plots.
* Update to computation and error handling for Laplace approximation to ED objective function.
* Added more intuitive cost function input. See examples in `?poped_optim`
* Various small changes and bug fixes.
PopED 0.3.0
===========
* Added new optimization methods and tools, see `?poped_optim()`. This function incorporates the new optimization routines `optim_ARS()` and `optim_LS` which are optimized versions of previous optimization algorithms used in PopED. Both can be run with parallelization. `poped_optim()` also incorporates the genetic algorithm from `GA::ga()`, which can also be run with parallelization, and the "L-BFGS-B" method from `stats::optim()`. `poped_optim()` should be more efficient and faster than `poped_optimize()`.
* Changed the default objective function to be the log of the determinant of the FIM. `create.poped.database(ofv_calc_type=4)`
* Various small changes and bug fixes.
PopED 0.2.0
===========
* Fixed `plot_efficiency_of_windows()` bug that had wrong headers on each subplot.
* Fixed bug in `plot_model_prediction()` that did not plot the optimized design, but instead the initial design
* Reorganized the database created from `create.poped.database()`. The output from this function is now a list with 5 sub-lists: design, design_space, model, parameters and settings. Also removed duplicate entries in the database for easier manipulation. This will cause some back compatibility issues when refering to elements in a database.
* Added example 10 describing a PKPD design of hepatitis C virus (HCV) kinetics to the `system.file("examples",package="PopED")` directory of the PopED installation.
PopED 0.1.2
===========
* Updated model_prediction() to allow for creation of NONMEM datasets.
Useful for testing of optimized designs via PsN's (http://psn.sf.net) SSE tool, for example.
* Two new functions create_design() and create_design_space() that allow for design and design space creation without the
need for a model or parameter values.
* Updated the create.poped.database() function to use create_design() and create_design_space()
* Added examples for evaluation and optimization of a one-target quasi-steady-state
target mediated drug disposition model (TMDD) to the system.file("examples",package="PopED") directory of the PopED installation.
* Added a 2-compartment, oral absorption, multiple dose example to the system.file("examples",
package="PopED") directory of the PopED installation.
* Updated plot_efficiency_of_windows() to allow for the plotting of the RSE of each parameter on the y-axis.
* Updated error handing for the Laplace approximation of the ED OFV.
* Fixed bug when computing FIM with only one BSV term present in model (calculation gave
an error).
* Fixed a bug in plot_model_predictions where an error was returned if not all time
values in the xt matrix were to be used for the design calculation
(ni is different from size(xt,2), see ?create_poped_database).
* Various small bug fixes.
PopED 0.1.1
===========
* Updated package author list
* New functionality to compute the ED OFV using the Laplace approximation.
This can be orders of magnitude faster than the standard MC integration approach.
See '?ed_laplace_ofv' and '?evaluate.e.ofv.fim'
* Added a general function to compute the FIM and OFV(FIM) for all avaialbale methods in PopED.
See '?calc_ofv_and_fim'.
* Added a general optimization algorithm 'RS_opt_gen()' that works for both D-family and
E-family optimization.
* Added optimization of E-family designs to 'poped_optimize()'.
* Changed distribution tests for package building
* Fixed bug where correlations between BSV (between subject variability) terms in the model gave an
error when creating a PopED database
* Fixed a bug where get_rse failed when a parameter had a value of 3.
PopED 0.1.0
===========
* PopED has been translated to R from MATLAB and this is the initial release.