• cftool

  • Referenced in 9 articles [sw14885]
  • statistics, display confidence intervals and residuals, remove outliers and assess fits with validation data. Automatically...
  • PROC CALIS

  • Referenced in 5 articles [sw12071]
  • with nonstochastic exogenous variables. You should remove outliers and consider transformations of nonnormal variables before...
  • RHRV

  • Referenced in 4 articles [sw21454]
  • most broadly used formats, to remove outliers or points with unacceptable physiological values present...
  • outference

  • Referenced in 2 articles [sw22356]
  • Valid Inference Corrected for Outlier Removal. Ordinary least square (OLS) estimation of a linear regression ... common practice to first identify and remove outliers by looking at the data then ... framework that properly accounts for outlier detection and removal to provide valid confidence intervals ... inferential procedures apply to any outlier removal procedure that can be characterized...
  • libPLS

  • Referenced in 2 articles [sw33119]
  • also implemented a number of commonly used outlier detection and variable selection methods that ... used to ”clean” your data by removing potential outliers and using only...
  • schoRsch

  • Referenced in 1 article [sw18936]
  • offering out-of-the-box outlier removal. The package lends its name to Georg ”Schorsch...
  • SWCalibrateR

  • Referenced in 1 article [sw29458]
  • your model estimate and thus easily remove outliers influencing your model estimate. SWCalibrateR handles robust...
  • KipTool

  • Referenced in 1 article [sw29510]
  • imaging specific cleaning algorithms such as outlier removal and stripe filtering. The software is characterized...
  • HCViewer

  • Referenced in 1 article [sw22147]
  • including data filtering (i.e., detection and removal of outliers and fraud cases), statistics and spatial...
  • preprocomb

  • Referenced in 0 articles [sw15612]
  • evaluating preprocessing combinations for classification, clustering and outlier detection. The framework supports adding of user ... variance removal, missing value imputation, scaling, outlier removal, noise smoothing, feature selection and class imbalance...
  • Brunn

  • Referenced in 1 article [sw21444]
  • data validation step, where outliers can be removed, and finally a plate report with...
  • hrv-analysis

  • Referenced in 1 article [sw40166]
  • functions for signal preprocessing like outliers and ectopic beat removal. This package is suitable...
  • l1kdeconv

  • Referenced in 0 articles [sw19671]
  • Gaussian mixture model (AGMM). Upon the remove of outliers and the borrowing information among similar...
  • imputeFin

  • Referenced in 1 article [sw38295]
  • used). In addition, outliers can be detected and removed. The package is based...
  • Acgh.spline

  • Referenced in 1 article [sw18847]
  • linear interpolation of outlier values, which is able to remove a large portion...
  • TextCL

  • Referenced in 1 article [sw42371]
  • removing duplicate sentences. Another functionality offered by the TextCL package is the outlier detection module...
  • WhiteboxTools

  • Referenced in 2 articles [sw37771]
  • accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such ... LidarHistogram), segmented, tiled and joined, analyized for outliers, interpolated to rasters (DEMs, intensity images...
  • generalCorr

  • Referenced in 1 article [sw15276]
  • asses effect of x on y after removing the effect of a set of variables ... compact summary form, for matrix algebra, for outlier detection, and for numerical integration...
  • LAPACK

  • Referenced in 1713 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Matlab

  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...