• bootlib

  • Referenced in 408 articles [sw40642]
  • bootlib: Bootstrapping and Resampling with S-Plus. A library of functions and data written ... Chapter 2 describes the properties of resampling methods for use with single samples from parametric ... three subsequent chapters deal with resampling methods appropriate for linear regression models, generalized linear models ... underlying which are closely related to resampling methods. Chapter 11 gives a short introduction...
  • penalized

  • Referenced in 26 articles [sw06071]
  • cross-validation is a frequently used resampling method. Unfortunately, this method can be quite time...
  • ORIOGEN

  • Referenced in 16 articles [sw07654]
  • common practice to use resampling methods such as the bootstrap for calculating the p-value...
  • GSHMC

  • Referenced in 16 articles [sw02631]
  • sampling from a canonical ensemble. The HMC method is based on classical molecular dynamics simulations ... momentum resampling step. While the HMC method completely resamples the momentum after each Monte Carlo...
  • HAPGEN2

  • Referenced in 6 articles [sw17354]
  • analysis methods in genome-wide association studies. Simulation based on resampling known haplotypes is fast ... real data. However, the inability of current methods to simulate multiple nearby disease SNPs ... 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...
  • AdaptFitOS

  • Referenced in 7 articles [sw06774]
  • smooth curves in additive models. The method allows for handling of spatially heterogeneous functions ... simultaneous inference directly, that is, without resampling methods. Finite sample properties of simultaneous confidence bands...
  • AABC

  • Referenced in 6 articles [sw16116]
  • approximate Bayesian computation” (AABC), a class of methods that extends simulation-based inference ... number of data sets by Bayesian resampling methods. We show that under mild assumptions...
  • Resampling Stats

  • Referenced in 12 articles [sw06019]
  • intensive procedures have revolutionized statistics. Resampling is now the method of choice for confidence limits ... complicated mathematics and arcane approximations, the basic resampling tools are simulations, created especially...
  • Mosclust

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

  • Referenced in 31 articles [sw12357]
  • general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter ... multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with ... machine learning, also allowing for easy nested resampling. Most operations can be parallelized...
  • multtest

  • Referenced in 22 articles [sw08262]
  • bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling...
  • SSD

  • Referenced in 24 articles [sw26652]
  • model is simple relative to methods that require object proposals because it completely eliminates proposal ... generation and subsequent pixel or feature resampling stage and encapsulates all computation in a single ... confirm that SSD has comparable accuracy to methods that utilize an additional object proposal step...
  • ErmineJ

  • Referenced in 4 articles [sw30047]
  • gene-by-gene analysis. However, this method suffers from some limitations, and biologist-friendly tools ... analysis, including over-representation and resampling-based methods that focus on gene scores or correlation...
  • IsoGene

  • Referenced in 2 articles [sw11802]
  • package. The inference is based on resampling methods, both permutations and the Significance Analysis...
  • WtdCatmod

  • Referenced in 2 articles [sw26006]
  • Marginal Models on Sample Surveys with Resampling Methods. Packaged statistical software for analyzing categorical, repeated...
  • Bender

  • Referenced in 1 article [sw21429]
  • methods in Bender are based on computer-graphics techniques for rigging, skinning, and resampling voxelized ... present the software and compare two resampling methods: a novel extension to dual quaternions ... used to quickly and effectively resample repositioned anatomic models...
  • quantreg.nonpar

  • Referenced in 1 article [sw37935]
  • Quantile Regression. Implements the nonparametric quantile regression method developed by Belloni, Chernozhukov, and Fernandez ... uniform confidence intervals using analytic and resampling methods...
  • reproject

  • Referenced in 1 article [sw39643]
  • image reprojection. reproject implements image reprojection (resampling) methods for astronomical images using various techniques...
  • gldex

  • Referenced in 10 articles [sw10548]
  • data using the discretized and maximum likelihood methods. The GLDEX package also provides diagnostic tests ... examine the quality of fit through the resample Kolmogorov-Smirnoff test, quantile plots and comparison...
  • sambia

  • Referenced in 1 article [sw25991]
  • bias is provided. In particular, the resampling-based methods ”stochastic inverse-probability oversampling” and ”parametric...