Other packages > Find by keyword >

PopED  

Population (and Individual) Optimal Experimental Design
View on CRAN: Click here


Download and install PopED package within the R console
Install from CRAN:
install.packages("PopED")

Install from Github:
library("remotes")
install_github("cran/PopED")

Install by package version:
library("remotes")
install_version("PopED", "0.7.0")



Attach the package and use:
library("PopED")
Maintained by
Andrew C. Hooker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-28
Latest Update: 2024-10-07
Description:
Optimal experimental designs for both population and individual studies based on nonlinear mixed-effect models. Often this is based on a computation of the Fisher Information Matrix. This package was developed for pharmacometric problems, and examples and predefined models are available for these types of systems. The methods are described in Nyberg et al. (2012) , and Foracchia et al. (2004) .
How to cite:
Andrew C. Hooker (2014). PopED: Population (and Individual) Optimal Experimental Design. R package version 0.7.0, https://cran.r-project.org/web/packages/PopED. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 0.1.0 (2014-04-28 11:08), 0.1.1 (2014-05-27 15:44), 0.1.2 (2014-11-19 14:03), 0.2.0 (2015-03-20 18:04), 0.3.0 (2015-12-29 22:29), 0.3.1 (2016-10-19 13:07), 0.3.2 (2016-12-12 18:16), 0.4.0 (2018-09-10 11:40), 0.5.0 (2020-06-13 16:50), 0.6.0 (2021-05-21 16:50)
Other packages that cited PopED R package
View PopED citation profile
Other R packages that PopED depends, imports, suggests or enhances
Complete documentation for PopED
Functions, R codes and Examples using the PopED R package
Some associated functions: Doptim . Dtrace . LEDoptim . LinMatrixH . LinMatrixL . LinMatrixLH . LinMatrixL_occ . PopED . RS_opt . a_line_search . bfgsb_min . blockexp . blockfinal . blockheader . blockopt . build_sfg . calc_autofocus . calc_ofv_and_fim . calc_ofv_and_grad . cell . convert_variables . create.poped.database . create_design . create_design_space . design_summary . diag_matlab . downsizing_general_design . ed_laplace_ofv . ed_mftot . efficiency . evaluate.e.ofv.fim . evaluate.fim . evaluate_design . evaluate_fim_map . evaluate_power . extract_norm_group_fim . feps.add . feps.add.prop . feps.prop . feval . ff.PK.1.comp.oral.md.CL . ff.PK.1.comp.oral.md.KE . ff.PK.1.comp.oral.sd.CL . ff.PK.1.comp.oral.sd.KE . ff.PKPD.1.comp.oral.md.CL.imax . ff.PKPD.1.comp.sd.CL.emax . fileparts . getTruncatedNormal . get_all_params . get_rse . get_unfixed_params . getfulld . gradf_eps . inv . isempty . log_prior_pdf . mc_mean . median_hilow_poped . mf3 . mf7 . mfea . mftot . model_prediction . ofv_criterion . ofv_fim . ones . optim_ARS . optim_LS . optimize_groupsize . optimize_n_eff . optimize_n_rse . pargen . plot_efficiency_of_windows . plot_model_prediction . poped.choose . poped_gui . poped_optim . poped_optim_1 . poped_optim_2 . poped_optim_3 . poped_optimize . rand . randn . shrinkage . size . start_parallel . summary.poped_optim . test_mat_size . tic . toc . tryCatch.W.E . zeros . 
Some associated R codes: Doptim.R . Dtrace.R . LEDoptim.R . LinMatrixH.R . LinMatrixL.R . LinMatrixLH.R . LinMatrixL_occ.R . PopED.R . RS_opt.R . a_line_search.R . add_to_poped_db.R . bfgsb_min.R . blockexp.R . blockfinal.R . blockheader.R . blockopt.R . blockoptwrt.R . blockother.R . build_sfg.R . calc_ofv_and_fim.R . cauchy_point.R . cell.R . convert_variables.R . create.poped.database.R . create_design.R . create_design_space.R . create_ofv.R . d2fimdalpha2.R . design_summary.R . dfimdalpha.R . diag_matlab.R . downsizing_general_design.R . ed_laplace_ofv.R . ed_mftot.R . efficiency.R . evaluate.e.ofv.fim.R . evaluate.fim.R . evaluate_design.R . evaluate_fim_map.R . evaluate_power.R . feval.R . fileparts.R . find.largest.index.R . fprintf.R . getTruncatedNormal.R . get_all_params.R . get_cv.R . get_discrete_x.R . get_fim_size.R . get_unfixed_params.R . getfulld.R . grad_all.R . grad_bpop.R . graddetmf.R . graddetmf_ext.R . gradff.R . gradfg.R . gradfg_occ.R . gradofv_a.R . gradofv_xt.R . gradtrmf.R . grouped_rand.R . grouped_rand_a.R . helper.R . hessian_eta_complex.R . hesskalpha2.R . ind_estimates.R . ind_likelihood.R . inv.R . isempty.R . line_search.R . line_search_uc.R . linspace.R . log_prior_pdf.R . m1.R . m2.R . m3.R . mc_mean.R . median_hilow_poped.R . mf3.R . mf7.R . mf_all.R . mf_all_loq.R . mfea.R . mftot.R . model_prediction.R . models.R . numel.R . ofv_criterion.R . ofv_fim.R . ofv_optim.R . ones.R . optim_ARS.R . optim_LS.R . optimize_n.R . par_and_space_tbl.R . pargen.R . plot_efficiency_of_windows.R . plot_model_prediction.R . poped_gui.R . poped_optim.R . poped_optim_1.R . poped_optim_2.R . poped_optim_3.R . poped_optimize.R . rand.R . randn.R . shrinkage.R . size.R . start_parallel.R . subspace_min.R . summary.poped_optim.R . test_mat_size.R . tic.R . toc.R . trace_matrix.R . update_designinlist.R . update_offdiag.R . v.R . write_iterationfile.R . write_matrix.R . zeros.R . zzz.R .  Full PopED package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA