
mediation
 Referenced in 16 articles
[sw04536]
 package that allows both parametric and nonparametric causal mediation analysis. It implements the methods ... also allows researchers to conduct sensitivity analysis for certain parametric models...

SBMLSAT
 Referenced in 7 articles
[sw21897]
 robustness analysis and local and global sensitivity analysis for SBML models. This software tool extends ... global sensitivity analyses using multiparametric sensitivity analysis, partial rank correlation coefficient, SOBOL’s method...

ODESSA
 Referenced in 29 articles
[sw00647]
 differential equation solver with explicit simultaneous sensitivity analysis. ODESSA is a package of FORTRAN routines ... equations and the associated firstorder parametric sensitivity equations, yielding the ODE solution vector below...

WORHP Zen
 Referenced in 1 article
[sw26154]
 WORHP Zen: parametric sensitivity analysis for the nonlinear programming solver WORHP. Nonlinear optimization problems that ... applications usually depend on parameter data. Parametric sensitivity analysis is concerned with the effects ... algorithms. We present WORHP Zen, a sensitivity analysis module for the nonlinear programming solver WORHP ... following: (i) Efficient calculation of parametric sensitivities using an existing factorization; (ii) efficient sparse storage...

DDASAC
 Referenced in 1 article
[sw33454]
 DDASAC (Double Precision Differential/Algebraic Sensitivity Analysis Code). DDASAC solves nonlinear initialvalue problems involving stiff ... automatic initial step selection, direct concurrent parametric sensitivity analysis, and stopping at a prescribed value...

emgr
 Referenced in 13 articles
[sw07554]
 model reduction, decentralized control, optimal placement, sensitivity analysis or parameter identification. Empirical Gramian matrices correspond ... linear) system Gramians, but extend to parametric and nonlinear systems due to their datadriven...

BOSSQuattro
 Referenced in 18 articles
[sw11037]
 providing a set of tools from simple parametric studies to fully automatic optimization. BOSS quattro ... parameters on my design criteria values (sensitivity analysis) ? Which input parameters values lead...

DAEPACK
 Referenced in 17 articles
[sw12958]
 analysis and transformation andnumerical calculation. The symbolic analysis and transformation library consists of components ... performed efficiently and robustly and parametric sensitivity calculations can be performed correctly discontinuity locking...

MPErK
 Referenced in 2 articles
[sw23610]
 Empirical Kriging. MPErK (a MATLAB program for Parametric Empirical Kriging) can be used ... training data, and for doing sensitivity analysis. More specifically, mperk...

PAROC
 Referenced in 6 articles
[sw21878]
 system identification, model reduction and global sensitivity analysis, (iii) a receding horizon modelling step ... reactive scheduling, (iv) a suite of multiparametric programming techniques for optimisation under uncertainty, explicit/multiparametric...

FReET
 Referenced in 1 article
[sw22080]
 variables and random fields. Sensitivity analysis is based on nonparametric rankorder correlation coefficients...

treatSens
 Referenced in 1 article
[sw23421]
 Sensitivity Analysis for Causal Inference. Utilities to investigate sensitivity to unmeasured confounding in parametric models...

PAGAI
 Referenced in 7 articles
[sw13095]
 PAGAI: A Path Sensitive Static Analyser. We describe the design and the implementation of PAGAI ... while avoiding systematic exponential enumerations. It is parametric in the abstract domain ... time and precision of various combinations of analysis algorithms and abstract domains, with extensive experiments...

PDASAC
 Referenced in 1 article
[sw33455]
 Partial Differential Algebraic Sensitivity Analysis Code. PDASAC solves stiff, nonlinear initialboundaryvalue ... Parametric sensitivities of the calculated states are compted simultaneously on request, via the Jacobian...

PAGE
 Referenced in 7 articles
[sw23828]
 analysis model. Compared with GSEA, the parametric analysis of gene set enrichment (PAGE) detected ... data irrespective of different Affymetrix probe level analysis methods or different microarray platforms. Comparison ... gene level. Conclusion: PAGE was statistically more sensitive and required much less computational effort than...

synthpop
 Referenced in 6 articles
[sw17416]
 exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values ... distributions fitted to the original data using parametric or classification and regression trees models. Data...

survHE
 Referenced in 1 article
[sw35581]
 Contains a suite of functions for survival analysis in health economics. These can be used ... user can specify a set of parametric models using a common notation and select ... postprocessed to produce probabilistic sensitivity analysis and can be used to export the output...

medeff
 Referenced in 1 article
[sw37463]
 statistical methodology of me diation analysis. In particular, we provide functions for the correct calculation ... different types of parametric models, as well as the calculation of sensitivity analyses for violations...

FAMOUS
 Referenced in 2 articles
[sw36917]
 obtained fuzzyparametrized models, the evaluation and analysis of the resulting uncertain, fuzzyvalued output ... assessment of robustness of systems to parametric uncertainties. Hence, FAMOUS provides the solution of both ... well as the calculation of influence / sensitivity measures for systems with uncertain parameters. In this...

AUTOIK
 Referenced in 2 articles
[sw21228]
 indicator kriging program for the automated nonparametric modeling of local uncertainty in earth sciences ... wellknown soil Jura dataset. A sensitivity analysis demonstrates the benefit of using more thresholds...