• SKINNY

  • Referenced in 22 articles [sw17435]
  • also benefit from very efficient threshold implementations for side-channel protection. Regarding performances, it outperforms...
  • EbayesThresh

  • Referenced in 17 articles [sw11103]
  • method, in particular to wavelet thresholding, are also implemented within the package...
  • wbs

  • Referenced in 92 articles [sw11110]
  • stopping criteria for WBS: one based on thresholding and the other based on what ... methodology is implemented in the R package wbs, available on CRAN. {par} In addition...
  • adaptMT

  • Referenced in 7 articles [sw30028]
  • Testing with Side Information. Implementation of adaptive p-value thresholding (AdaPT), including both a framework ... pool of convenient functions that implement specific algorithms. See Lei, Lihua and Fithian, William...
  • MANTIS

  • Referenced in 3 articles [sw21866]
  • also benefit from very efficient threshold implementations for side-channel protection. Regarding performances, it outperforms...
  • NMOF

  • Referenced in 15 articles [sw11303]
  • provides implementations of several optimisation heuristics, such as Differential Evolution, Genetic Algorithms and Threshold Accepting...
  • not

  • Referenced in 6 articles [sw16502]
  • package not. Provides efficient implementation of the Narrowest-Over-Threshold methodology for detecting an unknown ... data following ’deterministic signal + noise’ model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant...
  • Reservation

  • Referenced in 3 articles [sw27715]
  • delay. We investigate a threshold reservation policy implemented within a single customer’s class. From...
  • TESTAS

  • Referenced in 19 articles [sw00957]
  • implement a set of procedures for deciding whether or not a language given ... locally testable, right or left locally testable, threshold locally testable, strictly locally testable, or piecewise ... algorithms are used. These algorithms have been implemented as a C/C ++ package...
  • ParILUT

  • Referenced in 5 articles [sw34961]
  • characteristics. This requires the efficient selection of thresholds that separate the values to be dropped ... generations, and outperform existing multithreaded CPU implementations...
  • stthreg

  • Referenced in 2 articles [sw14641]
  • commands that comprise this package for the threshold regression model are the model-fitting command ... also be used to implement an extended threshold regression model that accommodates applications where...
  • ordinal

  • Referenced in 28 articles [sw12561]
  • package ordinal: Regression Models for Ordinal Data. Implementation of cumulative link (mixed) models also known ... equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available...
  • twostageTE

  • Referenced in 1 article [sw24147]
  • package twostageTE: Two-Stage Threshold Estimation. Implements a variety of non-parametric methods for computing ... intervals, as well as point estimates of threshold values...
  • treethresh

  • Referenced in 1 article [sw37244]
  • Methods for Tree-Based Local Adaptive Thresholding. An implementation of TreeThresh, a locally adaptive version...
  • SYM-ILDL

  • Referenced in 10 articles [sw13375]
  • incomplete LU (ILU), originally introduced and implemented for symmetric matrices by [Li and Saad, Crout ... reordering, two equilibration strategies, threshold Bunch-Kaufman pivoting and rook pivoting, among other features ... also include an efficient MINRES implementation, applied with a specialized symmetric positive definite preconditioning technique...
  • SpherWave

  • Referenced in 1 article [sw41624]
  • implements wavelet thresholding approaches proposed...
  • VARDetect

  • Referenced in 1 article [sw38652]
  • Point Detection in Structural VAR Models. Implementations of Thresholded Block Segmentation Scheme (TBSS...
  • horseshoe

  • Referenced in 6 articles [sw29790]
  • package horseshoe: Implementation of the Horseshoe Prior. Contains functions for applying the horseshoe prior ... variable selection, using either a form of thresholding, or credible intervals...
  • svt

  • Referenced in 1 article [sw37232]
  • aforementioned statistical learning algorithms perform singular value thresholding on dense but structured matrices. To address ... MATLAB wrapper function svt that implements singular value thresholding. It encompasses both top singular value...
  • DLTK

  • Referenced in 3 articles [sw32337]
  • present DLTK, a toolkit providing baseline implementations for efficient experimentation with deep learning methods ... threshold access to state-of-the-art implementations for typical medical imaging problems. A comparison...