LEDoptim                Optimization function for D-family, E-family
                        and Laplace approximated ED designs
PopED                   PopED - *Pop*ulation (and individual) optimal
                        *E*xperimental *D*esign.
RS_opt                  Optimize the objective function using an
                        adaptive random search algorithm for D-family
                        designs.
RS_opt_gen              Optimize the objective function using an
                        adaptive random search algorithm for D-family
                        and E-family designs.
a_line_search           Optimize using line search
calc_ofv_and_fim        Calculate the Fisher Information Matrix (FIM)
                        and the OFV(FIM) for either point values or
                        parameters or distributions.
cell                    Create a cell array (a matrix of lists)
create.poped.database   Create a PopED database
create_design           Create design variables for a full description
                        of a design.
create_design_space     Create design variables and a design space for
                        a full decription of an optimization problem.
efficiency              Compute efficiency.
evaluate.e.ofv.fim      Evaluate the expectation of the Fisher
                        Information Matrix (FIM) and the expectation of
                        the OFV(FIM).
evaluate.fim            Evaluate the Fisher Information Matrix (FIM)
evaluate_design         Evaluate a design
feps.add                RUV model: Additive .
feps.add.prop           RUV model: Additive and Proportional.
feps.prop               RUV model: Proportional.
ff.PK.1.comp.oral.md.CL
                        Structural model: one-compartment, oral
                        absorption, multiple bolus dose, parameterized
                        using CL.
ff.PK.1.comp.oral.md.KE
                        Structural model: one-compartment, oral
                        absorption, multiple bolus dose, parameterized
                        using KE.
ff.PK.1.comp.oral.sd.CL
                        Structural model: one-compartment, oral
                        absorption, single bolus dose, parameterized
                        using CL.
ff.PK.1.comp.oral.sd.KE
                        Structural model: one-compartment, oral
                        absorption, single bolus dose, parameterized
                        using KE.
ff.PKPD.1.comp.oral.md.CL.imax
                        Structural model: one-compartment, oral
                        absoprtion, multiple bolus dose, parameterized
                        using CL driving an inhibitory IMAX model with
                        a direct efect.
ff.PKPD.1.comp.sd.CL.emax
                        Structural model: one-compartment, single bolus
                        IV dose, parameterized using CL driving an EMAX
                        model with a direct efect.
get_rse                 Compute the expected parameter relative
                        standard errors
mc_mean                 Compute the monte-carlo mean of a function
median_hilow_poped      Wrap summary functions from Hmisc and ggplot to
                        work with stat_summary in ggplot
model_prediction        Model predictions
ofv_criterion           Normalize an objective function by the size of
                        the FIM matrix
ofv_fim                 Evaluate a criterion of the Fisher Information
                        Matrix (FIM)
ones                    Creates a matrix of ones
optim_ARS               Optimization Using Adaptive Random Search.
optim_LS                Optimization Using a Line Search Algorithm.
pargen                  Parameter simulation
plot_efficiency_of_windows
                        Plot the efficiency of windows
plot_model_prediction   Plot model predictions
poped_gui               Run the graphical interface for PopED
poped_optim             Optimization main module for PopED
poped_optimize          Optimization main module for PopED
size                    Function written to match MATLAB's size
                        function
start_parallel          Start parallel computational processes
tic                     Timer function (as in MATLAB)
toc                     Timer function (as in MATLAB)
zeros                   Creates a matrix of zeros.
