• mlr

  • Referenced in 19 articles [sw12357]
  • general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter ... machine learning, also allowing for easy nested resampling. Most operations can be parallelized...
  • Resampling Stats

  • Referenced in 12 articles [sw06019]
  • hate the subject.Complexity is the disease. Resampling (drawing repeated samples from the given data ... other computer-intensive procedures have revolutionized statistics. Resampling is now the method of choice ... complicated mathematics and arcane approximations, the basic resampling tools are simulations, created especially ... doing and why they are doing it. Resampling lets you analyze most sorts of data...
  • multtest

  • Referenced in 16 articles [sw08262]
  • multtest: Resampling-based multiple hypothesis testing. Non-parametric bootstrap and permutation resampling-based multiple testing...
  • penalized

  • Referenced in 22 articles [sw06071]
  • evaluation, cross-validation is a frequently used resampling method. Unfortunately, this method can be quite...
  • ipred

  • Referenced in 22 articles [sw08001]
  • regression and survival problems as well as resampling based estimators of prediction error...
  • HumanEva

  • Referenced in 21 articles [sw15489]
  • optimization in the form of Sequential Importance Resampling and Annealed Particle Filtering. In the context...
  • GSHMC

  • Referenced in 13 articles [sw02631]
  • Metropolis acceptance criterion and a momentum resampling step. While the HMC method completely resamples...
  • Signal Processing Toolbox

  • Referenced in 18 articles [sw06876]
  • visualize signals. The toolbox includes algorithms for resampling, smoothing, and synchronizing signals, designing and analyzing...
  • pvclust

  • Referenced in 7 articles [sw07120]
  • Clustering with P-Values via Multiscale Bootstrap Resampling pvclust is a package for assessing ... boostrap probability) values computed via multiscale bootstrap resampling...
  • ORIOGEN

  • Referenced in 10 articles [sw07654]
  • common practice to use resampling methods such as the bootstrap for calculating the p-value...
  • rootsb

  • Referenced in 10 articles [sw11379]
  • sometimes better for accuracy to resample the functions when working in a subdivided, smaller domain...
  • gldex

  • Referenced in 8 articles [sw10548]
  • examine the quality of fit through the resample Kolmogorov-Smirnoff test, quantile plots and comparison...
  • HAPGEN2

  • Referenced in 4 articles [sw17354]
  • genome-wide association studies. Simulation based on resampling known haplotypes is fast and efficient ... simulation algorithm based on a successful resampling method, HAPGEN, that can simulate multiple nearby disease ... method, HAPGEN2, retains many advantages of resampling methods and expands the range of disease models...
  • ClusCorr98

  • Referenced in 4 articles [sw01994]
  • clustering techniques with in-built validation via resampling. Using special weights of observations leads ... well-known resampling techniques. By doing so, the appropriate number of clusters can be validated...
  • Metawin

  • Referenced in 4 articles [sw24643]
  • Metawin: Statistical Software for Meta-Analysis with Resampling Tests. This manual shows you a statistical ... program will also allow you to incorporate resampling tests into your meta-analysis. In particular...
  • chopthin

  • Referenced in 3 articles [sw26338]
  • package chopthin: The Chopthin Resampler. Resampling is a standard step in particle filtering ... Monte Carlo. This package implements the chopthin resampler, which keeps a bound on the ratio ... largest and the smallest weights after resampling...
  • AdaptFitOS

  • Referenced in 5 articles [sw06774]
  • simultaneous inference directly, that is, without resampling methods. Finite sample properties of simultaneous confidence bands...
  • AABC

  • Referenced in 5 articles [sw16116]
  • large number of data sets by Bayesian resampling methods. We show that under mild assumptions...
  • Mosclust

  • Referenced in 4 articles [sw09071]
  • indices obtained through different data perturbations methods (resampling, random projections, noise injection), as well...
  • peperr

  • Referenced in 4 articles [sw10907]
  • designed for prediction error estimation through resampling techniques, possibly accelerated by parallel execution...