• robustbase

  • Referenced in 434 articles [sw07114]
  • package robustbase: Basic Robust Statistics. ”Essential” Robust Statistics. The goal is to provide tools allowing ... with robust methods. This includes regression methodology including model selections and multivariate statistics where ... strive to cover the book ”Robust Statistics, Theory and Methods” by Maronna, Martin and Yohai...
  • ROBETH

  • Referenced in 43 articles [sw00811]
  • ROBETH is the program library for robust statistical procedures described in the book entitled ”Algorithms...
  • LIBRA

  • Referenced in 28 articles [sw10553]
  • ROBUST@Leuven, the research group on robust statistics at the KU Leuven. It contains user ... depth quantiles. For comparison also several non-robust functions are included. Many graphical tools ... Most of the functions require the MATLAB Statistics Toolbox...
  • WRS2

  • Referenced in 24 articles [sw16389]
  • package WRS2. A collection of robust statistical methods based on Wilcox’ WRS functions. It implements...
  • LOWESS

  • Referenced in 27 articles [sw08989]
  • data with long-tailed symmetric errors (robust fitting). Statistics for inference are not computed ... Institute of Statistics, North Carolina State University, Raleigh, North Carolina, 1978. Robust Locally Weighted Fitting ... Cleveland. Journal of the American Statistical Association, 74:829-836, 1979. Computational methods were developed ... LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Fitting. W. S. Cleveland...
  • SparseMatrix

  • Referenced in 663 articles [sw04629]
  • allows for robust and repeatable experiments: robust because performance results with artificially-generated matrices ... quantum chemistry, chemical process simulation, mathematics and statistics, power networks, and other networks and graphs...
  • MRG32k3a

  • Referenced in 27 articles [sw18715]
  • good structural properties. Such generators are statistically more robust than simple linear congruential generators that...
  • RobStatTM

  • Referenced in 10 articles [sw31568]
  • package RobStatTM: Robust Statistics: Theory and Methods. Companion package for the book: ”Robust Statistics: Theory ... This package contains code that implements the robust estimators discussed in the recent second edition...
  • Sheppack

  • Referenced in 14 articles [sw07352]
  • linear Shepard code is a statistically robust fit, intended to be used when the data...
  • Rassoc

  • Referenced in 12 articles [sw25402]
  • Algorithms to Calculate Asymptotic Null Distributions of Robust Tests in Case-Control Genetic Association Studies ... most commonly used statistics for the analysis of case-control genetic association studies. The asymptotically ... underlying genetic models are unknown. Thus, tests robust to genetic model misspecification are preferable ... study how components of each robust statistic are correlated, and find a linear dependence among...
  • CNV-seq

  • Referenced in 11 articles [sw17970]
  • method is based on a robust statistical model that describes the complete analysis procedure...
  • EpiModel

  • Referenced in 8 articles [sw16142]
  • network models. Network models use the robust statistical methods of exponential-family random graph models...
  • robustX

  • Referenced in 5 articles [sw18256]
  • package robustX: eXperimental Functionality for Robust Statistics. eXperimental, eXtraneous, or eXtraordinary Functionality for Robust Statistics...
  • robfilter

  • Referenced in 6 articles [sw10976]
  • time series based on concepts from robust statistics...
  • FSDA

  • Referenced in 18 articles [sw11737]
  • FSDA: a MATLAB toolbox for robust analysis and interactive data exploration. We present the FSDA ... extends MATLAB and its Statistics Toolbox to support a robust and efficient analysis of complex...
  • BraMBLe

  • Referenced in 27 articles [sw36453]
  • adoption of statistical appearance models which allow effective background subtraction and robust tracking of deforming...
  • ASA

  • Referenced in 77 articles [sw04736]
  • language code developed to statistically find the best global fit of a nonlinear constrained ... over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems...
  • ReadDepth

  • Referenced in 4 articles [sw17969]
  • reference sample, and uses a robust statistical model that accounts for overdispersed data. It includes...
  • SDSM

  • Referenced in 4 articles [sw11813]
  • local climate change impacts using a robust statistical downscaling technique. Statistical DownScaling Model (sdsm) facilitates...
  • FarmTest

  • Referenced in 7 articles [sw31555]
  • FarmTest: Factor Adjusted Robust Multiple Testing. Performs robust multiple testing for means in the presence ... model parameters and construct test statistics that are robust against heavy-tailed and/or asymetric error...