• SparseMatrix

  • Referenced in 747 articles [sw04629]
  • Collection is widely used by the numerical linear algebra community for the development and performance ... matrix algorithms. It allows for robust and repeatable experiments: robust because performance results with artificially ... geometry (as structural engineering, computational fluid dynamics, model reduction, electromagnetics, semiconductor devices, thermodynamics, materials, acoustics...
  • XFEM

  • Referenced in 391 articles [sw01026]
  • natural requirements for modularity, extensibility, and robustness. To facilitate mesh -- geometry interactions with hundreds ... slip-interfaces; nonlinear material models such as J2 plasticity with linear, isotropic and kinematic hardening...
  • wwcode

  • Referenced in 21 articles [sw26044]
  • Rank-Based Analysis of Linear Models Using R. It is well-known that Wilcoxon procedures ... used to implement a robust analysis of a linear model based on WW-estimates...
  • robustlmm

  • Referenced in 6 articles [sw23530]
  • Package for Robust Estimation of Linear Mixed-Effects Models. As any real-life data, data ... package, robustlmm, to robustly fit linear mixed-effects models. The package’s functions and methods ... that implements classic linear mixed-effects model estimation in R. The robust estimation method ... show how to fit robust linear mixed-effects models using robustlmm, how to assess...
  • brms

  • Referenced in 32 articles [sw19099]
  • Stan. Fit Bayesian generalized (non-)linear multilevel models using Stan for full Bayesian inference ... robust linear, binomial, Poisson, survival, response times, ordinal, zero-inflated, hurdle, and even non-linear ... models all in a multilevel context. Further modeling options include auto-correlation and smoothing terms...
  • semml

  • Referenced in 13 articles [sw27809]
  • class of robust estimators for linear and non-linear simultaneous equations models, which ... deviations from the model distribution, to outlying observations, and to some model misspecifications. An optimality ... leads to the construction of an optimal robust estimator which is the best trade...
  • LYAPACK

  • Referenced in 66 articles [sw12624]
  • Large Lyapunov and Riccati Equations, Model Reduction Problems, and Linear–Quadratic Optimal Control Problems Users ... past decade, implementations of numerically robust algorithms for many types of dense problems in control ... LYAPACK, which also contains implementations of two model reduction methods and modifications of the Newton ... solution of large Riccati equations and linear-quadratic optimal control problems...
  • chemCal

  • Referenced in 13 articles [sw11069]
  • work on model objects from - optionally weighted - linear regression (lm) or robust linear regression...
  • lobpcg.m

  • Referenced in 147 articles [sw24008]
  • space of the corresponding homogeneous system of linear equations under the assumption that the eigenvalue ... compared with this “ideal” algorithm on our model test problems in terms of the speed ... method show that our method is more robust and converges almost two times faster...
  • robustHD

  • Referenced in 8 articles [sw14244]
  • Dimensional Data. Robust methods for high-dimensional data, in particular linear model selection techniques based...
  • Breach

  • Referenced in 26 articles [sw20822]
  • techniques aimed at the analysis of deterministic models of hybrid dynamical systems. The primary feature ... synthesis. A major novel feature is the robust monitoring of metric interval temporal logic (MITL ... analysis of complex non-linear models from systems biology...
  • ECOS

  • Referenced in 58 articles [sw12123]
  • depend on dedicated libraries for the required linear algebra computations operating on the (sparse) problem ... iterative refinement techniques to be numerically robust. The solution methods have been developed in cooperation ... provided interfaces to the following programming and modeling languages: CVX (Michael Grant), YALMIP (Johan Löfberg...
  • DPpackage

  • Referenced in 72 articles [sw10495]
  • modeling flexibility and robustness against mis-specification of the probability model. In the Bayesian context ... nonparametric and semiparametric models in R, DPpackage. Currently, DPpackage includes models for marginal and conditional ... data, longitudinal and clustered data using generalized linear mixed models, and regression data using generalized...
  • caretEnsemble

  • Referenced in 2 articles [sw30386]
  • linear combinations of these models, using a caret::train model as a meta-model ... caretEnsemble will make a robust linear combination of models using...
  • LimeTr

  • Referenced in 1 article [sw41754]
  • consider ME models where the random effects component is linear. We then develop an efficient ... nonlinear measurements, priors, and constraints, and finds robust estimates in all of these cases using ... also more computationally efficient than competing robust alternatives. Supplementary materials that reproduce the simulations ... classic approximations, such as log-linear models. Robust extensions in all analyses ensure that spurious...
  • nlr

  • Referenced in 9 articles [sw05244]
  • statistical parameter estimation problems for general nonlinear models, e.g., nonlinear least squares, maximum likelihood, maximum ... robust fitting problems. The accompanying test examples include members of the generalized linear model family...
  • TENSOLVE

  • Referenced in 29 articles [sw00956]
  • store, or solve than the standard linear model. Moreover, the software provides two different global ... tensor methods are significantly more efficient and robust than standard methods on small- and medium...
  • RoVerGeNe

  • Referenced in 13 articles [sw10954]
  • RoVerGeNe: A tool for the Robust Verification of Gene Networks. Rovergene is a tool ... piecewise multiaffine differential equation models, dynamical properties are expressed in linear temporal logic and uncertain ... intervals. The tool addresses two problems: robustness analysis: checking whether a dynamical property is satisfied...
  • robustBLME

  • Referenced in 1 article [sw32126]
  • package robustBLME: Robust Bayesian Linear Mixed-Effects Models using ABC. Bayesian robust fitting of linear...
  • FLIRT

  • Referenced in 21 articles [sw02671]
  • registration. FLIRT is a very robust and accurate automated linear (affine) registration tool based around ... with a number of different transformation models (degrees of freedom) and it implements a general...