• LeakWatch

  • Referenced in 3 articles [sw30239]
  • publicly-observable data and uses robust statistical techniques to provide estimates, with confidence intervals...
  • RobAStBase

  • Referenced in 2 articles [sw24369]
  • package RobAStBase: Robust Asymptotic Statistics. Base S4-classes and functions for robust asymptotic statistics...
  • abcrf

  • Referenced in 12 articles [sw21308]
  • relevant components of the summary statistics and bypassing the derivation of the associated tolerance level ... terms of robustness to the choice of the summary statistics, does not depend...
  • GenABEL

  • Referenced in 12 articles [sw10860]
  • framework for collaborative, robust, transparent, open-source based development of statistical genomics methodology...
  • WRS

  • Referenced in 1 article [sw22640]
  • package WRS package (Wilcox Robust Statistics). This package is the companion to his rather exhaustive ... book on robust statistics, “Introduction to Robust Estimation and Hypothesis Testing...
  • RobustSP

  • Referenced in 1 article [sw27068]
  • Robust statistics for signal processing. Understand the benefits of robust statistics for signal processing with ... recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation...
  • DepthProc

  • Referenced in 8 articles [sw17738]
  • package DepthProc: Statistical Depth Functions for Multivariate Analysis. Data depth concept offers a variety ... powerful and user friendly tools for robust exploration and inference for multivariate data. The offered...
  • FSDA4R

  • Referenced in 1 article [sw30188]
  • extends MATLAB and its Statistics Toolbox to support a robust and efficient analysis of complex ... computationally efficient software package for robust statistics, thanks to its tools for regression and multivariate ... analysis, robust transformations, cluster analysis and model selection. A distinctive feature motivating the choice ... influence of each individual observation on statistical estimates. One downside of FSDA, however, is that...
  • QInfer

  • Referenced in 4 articles [sw36605]
  • QInfer: Statistical inference software for quantum applications. Characterizing quantum systems through experimental data is critical ... computing. Analyzing this experimental data in a robust and reproducible manner is made challenging, however ... software for performing principled statistical analysis. We improve the robustness and reproducibility of characterization ... characterization tools based on principled statistical analysis, QInfer helps address many outstanding challenges facing quantum...
  • jsonlite

  • Referenced in 12 articles [sw15573]
  • package jsonlite: A Robust, High Performance JSON Parser and Generator for R. A fast JSON ... parser and generator optimized for statistical data and the web. Started out as a fork ... recent versions. The package offers flexible, robust, high performance tools for working with JSON...
  • rdbwselect

  • Referenced in 3 articles [sw37435]
  • introduce three commands to conduct robust data- driven statistical inference in regression-discontinuity (RD) designs ... present rdrobust, a command that implements the robust bias-corrected confidence intervals proposed in Calonico...
  • nlr

  • Referenced in 1 article [sw31352]
  • outliers in nonlinear regression, using robust statistics. It covers classic methods in nonlinear regression ... ISBN:978-1-118-73806-1). Robust Nonlinear Regression, with Application using R, John Wiley...
  • fastSCOP

  • Referenced in 1 article [sw22474]
  • characteristics of BLAST (e.g. a robust statistical basis, effective search and reliable database search capabilities ... These results suggest that the fastSCOP is robust and can be a useful server...
  • ggstatsplot

  • Referenced in 4 articles [sw36468]
  • most common types of statistical tests: parametric, nonparametric, robust, and Bayesian versions of t-test...
  • BayCount

  • Referenced in 1 article [sw26925]
  • need of normalizing the counts, achieves statistical robustness, and obtains biologically/clinically meaningful insights...
  • MULTIFAN-CL

  • Referenced in 2 articles [sw30316]
  • data were available. MULTIFAN provided a statistically-based, robust method of length-frequency analysis that...
  • ARMASA

  • Referenced in 2 articles [sw14903]
  • determined automatically from the data, using statistical criteria. Robust estimation algorithms and order selection criteria...
  • lfe

  • Referenced in 4 articles [sw26553]
  • instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors...
  • IATscores

  • Referenced in 0 articles [sw15421]
  • IATscores: Implicit Association Test Scores Using Robust Statistics. Compute several variations of the Implicit Association ... scores that were developed using robust statistics (Richetin, Costantini, Perugini, and Schonbrodt...
  • rsem

  • Referenced in 4 articles [sw06771]
  • variables The paper develops a two-stage robust procedure for structural equation modeling ... adjusted as well as corrected and F-statistics are proposed for overall model evaluation. Using ... generates all the test statistics and consistent SEs. Following the robust analysis, multiple model...