
ROBPCA
 Referenced in 77 articles
[sw11592]
 robust scatter matrix such as the minimum covariance determinant or an Sestimator ... combines projection pursuit ideas with robust scatter matrix estimation. ROBPCA yields more accurate ... estimates at noncontaminated datasets and more robust estimates at contaminated data. ROBPCA can be computed...

pcalg
 Referenced in 92 articles
[sw06072]
 using the IDA algorithm , Standard and robust estimation of the equivalence class of a Directed...

rrcov
 Referenced in 46 articles
[sw14029]
 package rrcov: Scalable Robust Estimators with High Breakdown Point. Robust Location and Scatter Estimation...

HLLE
 Referenced in 695 articles
[sw06605]
 velocities at the interface. The stability and robustness of the HLLE solver is closely related ... restores the missing Rarefaction wave by some estimates, like linearisations, these can be simple ... middle wave speed. They are quite robust and efficient but somewhat more diffusive...

ACADO
 Referenced in 74 articles
[sw04764]
 model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented...

sandwich
 Referenced in 36 articles
[sw04486]
 package sandwich: Robust Covariance Matrix Estimators , Modelrobust standard error estimators for crosssectional, time...

impute
 Referenced in 104 articles
[sw14376]
 Missing value estimation for DNA microarrays. Motivation: Gene expression microarray experiments can generate data sets ... clustering and Kmeans clustering are not robust to missing data, and may lose effectiveness ... this report, we investigate automated methods for estimating missing data. Results: We present a comparative ... provide a more robust and sensitive method for missing value estimation than SVDimpute, and both...

RobStatTM
 Referenced in 25 articles
[sw31568]
 package contains code that implements the robust estimators discussed in the recent second edition...

ROptEst
 Referenced in 15 articles
[sw06096]
 package ROptEst: Optimally robust estimation , Optimally robust estimation in general smoothly parameterized models using...

semml
 Referenced in 13 articles
[sw27809]
 estimation of a simultaneous equation model by maximum likelihood and optimal Brobust methods ... presented and discussed in the paper: Robust estimators for simultaneous equations models. This paper presents ... class of robust estimators for linear and nonlinear simultaneous equations models, which ... construction of an optimal robust estimator which is the best tradeoff between efficiency...

GrabCut
 Referenced in 115 articles
[sw15842]
 Thirdly, a robust algorithm for ”border matting” has been developed to estimate simultaneously the alpha...

robCompositions
 Referenced in 17 articles
[sw11804]
 robCompositions: Robust Estimation for Compositional Data. The package includes methods for imputation of compositional data...

RTDE
 Referenced in 8 articles
[sw11830]
 RTDE: Robust Tail Dependence Estimation. Robust tail dependence estimation for bivariate models. This package ... papers by the authors:’Robust and biascorrected estimation of the coefficient of tail dependence ... Robust and biascorrected estimation of extreme failure sets’. This work was supported...

covRobust
 Referenced in 11 articles
[sw11081]
 package covRobust: Robust Covariance Estimation via Nearest Neighbor Cleaning. The cov.nnve() function for robust covariance...

LASS
 Referenced in 30 articles
[sw00505]
 dependence scaling and to provide reliable local estimates of the Hurst exponents. The tool, which ... spectrum is introduced. It yields robust local or global estimates of the Hurst parameter that...

USAC
 Referenced in 6 articles
[sw42888]
 most popular tools for robust estimation. Recent years have seen an explosion of activity ... recent research in RANSACbased robust estimation by analyzing and comparing various approaches that have ... introducing a new framework for robust estimation, which we call Universal RANSAC (USAC). USAC extends ... standalone tool for robust estimation or as a benchmark for evaluating new techniques...

robustlmm
 Referenced in 6 articles
[sw23530]
 robustlmm: An R Package for Robust Estimation of Linear MixedEffects Models. As any real ... makes it difficult to spot contamination. Robust estimation methods aim to solve both problems ... effects model estimation in R. The robust estimation method in robustlmm is based ... crossed) grouping structures. The robustness of the estimates and their asymptotic efficiency is fully controlled...

RobASt
 Referenced in 10 articles
[sw07538]
 packages for the computation of optimally robust estimators and tests as well as the necessary...

TVRDART
 Referenced in 23 articles
[sw27583]
 robust algorithm for discrete tomography from limited projection data with automated gray value estimation ... with automated gray value estimation. This algorithm is more robust and automated than the original ... gray values and the thresholds are estimated as the reconstruction improves through iterations. Extensive experiments ... society with an easytouse and robust algorithm...

ddesd
 Referenced in 20 articles
[sw35136]
 this kind we develop robust and inexpensive estimates of both the local error...