a_line_search | Optimize using line search |
bfgsb_min | Nonlinear minimization using BFGS with box constraints |
blockexp | Summarize your experiment for optimization routines |
blockfinal | Result function for optimization routines |
blockheader | Header function for optimization routines |
blockopt | Summarize your optimization settings for optimization... |
build_sfg | Build PopED parameter function from a model function |
calc_autofocus | Compute the autofocus portion of the stochastic gradient... |
calc_ofv_and_fim | Calculate the Fisher Information Matrix (FIM) and the... |
calc_ofv_and_grad | Compute an objective function and gradient |
cell | Create a cell array (a matrix of lists) |
convert_variables | Create global variables in the 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... |
create.poped.database | Create a PopED database |
design_summary | Display a summary of output from poped_db |
diag_matlab | Function written to match MATLAB's diag function |
Doptim | D-family optimization function |
downsizing_general_design | Downsize a general design to a specific design |
Dtrace | Trace optimization routines |
ed_laplace_ofv | Evaluate the expectation of determinant the Fisher... |
ed_mftot | Evaluate the expectation of the Fisher Information Matrix... |
efficiency | Compute efficiency. |
evaluate_design | Evaluate a design |
evaluate.e.ofv.fim | Evaluate the expectation of the Fisher Information Matrix... |
evaluate.fim | Evaluate the Fisher Information Matrix (FIM) |
evaluate_fim_map | Compute the Bayesian Fisher information matrix |
evaluate_power | Power of a design to estimate a parameter. |
extract_norm_group_fim | Extract a normalized group FIM |
feps.add | RUV model: Additive . |
feps.add.prop | RUV model: Additive and Proportional. |
feps.prop | RUV model: Proportional. |
feval | MATLAB feval function |
ff.PK.1.comp.oral.md.CL | Structural model: one-compartment, oral absorption, multiple... |
ff.PK.1.comp.oral.md.KE | Structural model: one-compartment, oral absorption, multiple... |
ff.PK.1.comp.oral.sd.CL | Structural model: one-compartment, oral absorption, single... |
ff.PK.1.comp.oral.sd.KE | Structural model: one-compartment, oral absorption, single... |
ff.PKPD.1.comp.oral.md.CL.imax | Structural model: one-compartment, oral absorption, multiple... |
ff.PKPD.1.comp.sd.CL.emax | Structural model: one-compartment, single bolus IV dose,... |
fileparts | MATLAB fileparts function |
get_all_params | Extract all model parameters from the PopED database. |
getfulld | Create a full D (between subject variability) matrix given a... |
get_rse | Compute the expected parameter relative standard errors |
getTruncatedNormal | Generate a random sample from a truncated normal... |
get_unfixed_params | Return all the unfixed parameters |
gradf_eps | Model linearization with respect to epsilon. |
inv | Compute the inverse of a matrix |
isempty | Function written to match MATLAB's isempty function |
LEDoptim | Optimization function for D-family, E-family and Laplace... |
LinMatrixH | Model linearization with respect to epsilon. |
LinMatrixL | The linearized matrix L |
LinMatrixLH | Model linearization with respect to epsilon and eta. |
LinMatrixL_occ | Model linearization with respect to occasion variability... |
log_prior_pdf | Compute the natural log of the PDF for the parameters in an... |
mc_mean | Compute the monte-carlo mean of a function |
median_hilow_poped | Wrap summary functions from Hmisc and ggplot to work with... |
mf3 | The Fisher Information Matrix (FIM) for one individual |
mf7 | The full Fisher Information Matrix (FIM) for one individual... |
mfea | Modified Fedorov Exchange Algorithm |
mftot | Evaluate the Fisher Information Matrix (FIM) |
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 | Create a matrix of ones |
optim_ARS | Optimize a function using adaptive random search. |
optimize_groupsize | Title Optimize the proportion of individuals in the design... |
optimize_n_eff | Translate efficiency to number of subjects |
optimize_n_rse | Optimize the number of subjects based on desired uncertainty... |
optim_LS | Optimize a function using a line search algorithm. |
pargen | Parameter simulation |
plot_efficiency_of_windows | Plot the efficiency of windows |
plot_model_prediction | Plot model predictions |
poped.choose | Choose between 'arg1' and 'arg2' |
poped_gui | Run the graphical interface for PopED |
poped_optim | Optimize a design defined in a PopED database |
poped_optim_1 | Optimization main module for PopED Optimize the objective... |
poped_optim_2 | Optimization main module for PopED |
poped_optim_3 | Optimization main module for PopED |
poped_optimize | Retired optimization module for PopED |
PopED-package | PopED - *Pop*ulation (and individual) optimal *E*xperimental... |
rand | Function written to match MATLAB's rand function |
randn | Function written to match MATLAB's randn function |
RS_opt | Optimize the objective function using an adaptive random... |
shrinkage | Predict shrinkage of empirical Bayes estimates (EBEs) in a... |
size | Function written to match MATLAB's size function |
start_parallel | Start parallel computational processes |
summary.poped_optim | Display a summary of output from poped_optim |
test_mat_size | Test to make sure that matricies are the right size |
tic | Timer function (as in MATLAB) |
toc | Timer function (as in MATLAB) |
tryCatch.W.E | tryCatch both warnings (with value) and errors |
zeros | Create a matrix of zeros. |
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