Cluster Gauss-Newton Method
acceptedApproximateMinimizers
acceptedIndices_binary
acceptedIndices
acceptedMaxSSR
bestApproximateMinimizers
Cluster_Gauss_Newton_Bootstrap_method
Cluster_Gauss_Newton_EBE_method
Cluster_Gauss_Newton_method
col_quantile
compare_profileLikelihood
make_ShinyCGNM_doseData
make_ShinyCGNM_observationData
plot_2DprofileLikelihood
plot_goodnessOfFit
plot_paraDistribution_byHistogram
plot_paraDistribution_byViolinPlots
plot_parameterValue_scatterPlots
plot_profileLikelihood
plot_Rank_SSR
plot_simulationMatrixWithCI
plot_simulationWithCI
plot_SSR_parameterValue
plot_SSRsurface
shinyCGNM
suggestInitialLowerRange
suggestInitialUpperRange
table_parameterSummary
table_profileLikelihoodConfidenceInterval
topIndices
Find multiple solutions of a nonlinear least squares problem. Cluster Gauss-Newton method does not assume uniqueness of the solution of the nonlinear least squares problem and compute multiple minimizers. Please cite the following paper when this software is used in your research: Aoki et al. (2020) <doi:10.1007/s11081-020-09571-2>. Cluster Gauss–Newton method. Optimization and Engineering, 1-31. Please cite the following paper when profile likelihood plot is drawn with this software and used in your research: Aoki and Sugiyama (2024) <doi:10.1002/psp4.13055>. Cluster Gauss-Newton method for a quick approximation of profile likelihood: With application to physiologically-based pharmacokinetic models. CPT Pharmacometrics Syst Pharmacol.13(1):54-67. GPT based helper bot available at <https://chatgpt.com/g/g-684936db9e748191a2796debb00cd755-cluster-gauss-newton-method-helper-bot> .