• sensitivitymv

  • Referenced in 8 articles [sw12149]
  • package sensitivitymv: Sensitivity Analysis in Observational Studies. Sensitivity analysis in observational studies, including evidence factors...
  • mediation

  • Referenced in 11 articles [sw04536]
  • allows both parametric and nonparametric causal mediation analysis. It implements the methods and suggestions ... software also allows researchers to conduct sensitivity analysis for certain parametric models...
  • NEWOPT/AIMS

  • Referenced in 7 articles [sw02967]
  • augmented by additional methods for sensitivity analysis and scalar optimization. par The software package includes ... algorithms for simulation, sensitivity analysis and optimization. Sensitivities can be provided by the efficient semi...
  • BOSS-Quattro

  • Referenced in 10 articles [sw11037]
  • parameters on my design criteria values (sensitivity analysis) ? Which input parameters values lead...
  • KPP

  • Referenced in 10 articles [sw10179]
  • chemical system to do sensitivity analysis...
  • ELISA

  • Referenced in 9 articles [sw02195]
  • sharing and Ni-Hwang algorithms. A sensitivity analysis to study the effect of various design...
  • UQLab

  • Referenced in 9 articles [sw19740]
  • rare event estimation (structural reliability), global sensitivity analysis, Bayesian techniques for inverse problems, etc. After...
  • FATODE

  • Referenced in 6 articles [sw11044]
  • differential equations with direct and adjoint sensitivity analysis capabilities. The paper describes the capabilities, implementation ... package that offers forward and adjoint sensitivity analysis capabilities in the context of Runge-Kutta...
  • SensSB

  • Referenced in 4 articles [sw19500]
  • software toolbox for the development and sensitivity analysis of systems biology models. SensSB (Sensitivity Analysis ... models. In addition to addressing the sensitivity analysis problem, SensSB aims to cover ... derivative and variance-based global sensitivity analysis, (ii) pseudo-global identifiability analysis, (iii) optimal experimental ... toolbox. The importance of using sensitivity analysis techniques for identifying unessential parameters and designing...
  • SBML-SAT

  • Referenced in 4 articles [sw21897]
  • systems biology markup language (SBML) based sensitivity analysis tool. BACKGROUND: It has long been recognized ... that sensitivity analysis plays a key role in modeling and analyzing cellular and biochemical processes ... robustness analysis and local and global sensitivity analysis for SBML models. This software tool extends ... global sensitivity analyses using multi-parametric sensitivity analysis, partial rank correlation coefficient, SOBOL’s method...
  • GENESIS

  • Referenced in 12 articles [sw02283]
  • reliably. An approximate problem, generated using analysis and sensitivity information, is used for the actual ... been found, a new finite element analysis is performed and the process is repeated until...
  • LOCKSMITH

  • Referenced in 10 articles [sw20224]
  • LOCKSMITH: context-sensitive correlation analysis for race detection. One common technique for preventing data races ... novel constraint-based analysis that infers consistent correlation context-sensitively, using the results to check ... improve the precision and performance of the analysis, including a sharing analysis for inferring thread...
  • FME

  • Referenced in 10 articles [sw14241]
  • Modelling Environment for Inverse Modelling, Sensitivity, Identifiability, Monte Carlo Analysis. Provides functions to help ... data, to perform Monte Carlo, sensitivity and identifiability analysis. It is intended to work with...
  • sensitivity

  • Referenced in 4 articles [sw23606]
  • package sensitivity: Global Sensitivity Analysis of Model Outputs. A collection of functions for factor screening ... global sensitivity analysis and reliability sensitivity analysis. Most of the functions have to be applied...
  • SAFE Toolbox

  • Referenced in 4 articles [sw27799]
  • functions to perform Global Sensitivity Analysis in Matlab/Octave environment. It implements several methods, including ... Elementary Effects Test, Regional Sensitivity Analysis, Variance-Based (Sobol’) sensitivity analysis and the novel PAWN...
  • SACS

  • Referenced in 7 articles [sw03265]
  • Statistical software SACS is developed for sensitivity analysis in covariance structure analysis. It consists...
  • UNCSAM

  • Referenced in 4 articles [sw00990]
  • Software Package for Sensitivity and Uncertainty Analysis. Sensitivity and uncertainty analysis are generally recognized ... RIVM for performing sensitivity and uncertainty analysis on a large variety of models. UNCSAM combines ... regression- and correlation analysis, to obtain a clear picture of the sensitivities and uncertainties...
  • SAM II

  • Referenced in 3 articles [sw14062]
  • Statistical software SAM II. Sensitivity analysis in mutivariate methods. The statistical software SAM II which ... designed to make sensitivity analysis in descriptive multivariate analysis. This program has the unified formulation ... sensitivity analysis for any multivariate methods formulated as eigenvalue problems by using generalized singular value ... processing, (2) original analysis and (3) sensitivity analysis. By this revision, the number of multivariate...
  • qtlbim

  • Referenced in 6 articles [sw17320]
  • computationally efficient way to perform sensitivity analysis and can be used to quantitatively evaluate...
  • AVISPA

  • Referenced in 76 articles [sw03172]
  • automated validation of Internet security-sensitive protocols and applications. It provides a modular and expressive ... variety of state-of-the-art automatic analysis techniques...