• OjaNP

  • Referenced in 4 articles [sw24794]
  • Methods Based on the Oja Median and Related Concepts. Functions to calculate the Oja median...
  • SAFD

  • Referenced in 14 articles [sw14547]
  • fuzzy numbers). In particular, the package contains functions for the basic operations on the class ... fuzzy numbers (sum, scalar product, mean, median, Hukuhara difference) as well as for calculating (Bertoluzza ... Dempster-Shafer (levelwise) histogram. Moreover a function to simulate fuzzy random variables, bootstrap tests...
  • smoothmest

  • Referenced in 3 articles [sw25356]
  • Huber M-estimator, and the median, main function is smoothm), and Pitman estimator...
  • gtsummary

  • Referenced in 2 articles [sw36469]
  • summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized...
  • MFHD

  • Referenced in 2 articles [sw15486]
  • Multivariate Functional Halfspace Depth. Multivariate functional halfspace depth and median for two-dimensional functional data...
  • qrcm

  • Referenced in 14 articles [sw16728]
  • Parametric modeling of quantile regression coefficient functions. Estimating the conditional quantiles of outcome variables ... estimated. For example, the coefficients for the median are generally different from those ... modeling the regression coefficients as parametric functions of the order of the quantile. This approach...
  • KLEE

  • Referenced in 45 articles [sw04894]
  • coverage — on average over 90% per tool (median: over 94%) — and significantly beat the coverage ... identical BUSY-BOX and COREUTILS utilities, finding functional correctness errors and a myriad of inconsistencies...
  • Rfast

  • Referenced in 3 articles [sw31536]
  • fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums ... Poisson), are some of the many fast functions. References: a) Tsagris M., Papadakis...
  • Median-of-Medians

  • Referenced in 1 article [sw29538]
  • This entry provides an executable functional implementation of the Median-of-Medians algorithm for selecting...
  • lsdepth

  • Referenced in 1 article [sw19774]
  • depth and the Student median. This R package provides R functions for calculating the Student ... location-scale depth and the Student median described in the paper ”Mizera, I. and Ch.H ... American Statistical Association 99, 949-966.”. These functions are based on Theorems...
  • ssym

  • Referenced in 6 articles [sw14396]
  • possibly, censored. Under this setup, both the median and the skewness of the response variable ... explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated...
  • Algorithm 489

  • Referenced in 11 articles [sw36274]
  • While SELECT is thus functionally equivalent to Hoare’s algorithm FIND [1], it is significantly ... SELECT and FIND to determine the median of n elements was found experimentally...
  • Rotations

  • Referenced in 5 articles [sw11595]
  • methods for different Bayes, mean and median type estimators for the central orientation ... visualization technique for rotation data. Most recently, functions to identify potentially discordant (outlying) values have...
  • asht

  • Referenced in 0 articles [sw19521]
  • Hypothesis Tests. Some hypothesis test functions (sign test, median and other quantile tests, Wilcoxon signed...
  • FuzzyStatTra

  • Referenced in 2 articles [sw41114]
  • numbers. In particular, the package contains several functions for simulating trapezoidal fuzzy numbers, as well ... tendency measures (mean and two types of median), some scale measures (variance ... diversity index and one inequality index. Moreover, functions for calculating the 1-norm distance...
  • Toolbox image

  • Referenced in 1 article [sw22794]
  • blurring functions. anisotropic and spacially variant filters. non-linear filtering (median, LIC, bilateral). High Dynamic ... transforms such as local DCT. Various helpers functions...
  • sharpData

  • Referenced in 1 article [sw34928]
  • /aos/1015957396>. Capabilities for enhanced local linear regression function and derivative estimation are included, as well ... median integrated squared error criterion. Sample data sets are provided to illustrate function usage...
  • Gmedian

  • Referenced in 2 articles [sw21318]
  • Online Robust Principal Components Analysis. The geometric median covariation matrix is a robust multivariate indicator ... extended without any difficulty to functional data. We define estimators, based on recursive algorithms, that ... robust principal components analysis based on the median covariation matrix. All studied algorithms are available...
  • TukeyRegion

  • Referenced in 1 article [sw41734]
  • package TukeyRegion: Tukey Region and Median. Tukey regions are polytopes in the Euclidean space ... upper-level sets of the Tukey depth function on given data. The bordering hyperplanes ... centroid, and volume. In addition, the Tukey median set, which is the non-empty Tukey...
  • HighestMedianRules

  • Referenced in 1 article [sw41306]
  • grade. Based on ”Tie-breaking the highest median: alternatives to the majority judgment”, A. Fabre ... paper is available here: . Functions to plot the voting profiles...