
mlr
 Referenced in 24 articles
[sw12357]
 general, examplespecific costsensitive learning. Generic resampling, including crossvalidation, bootstrapping and subsampling. Hyperparameter ... machine learning, also allowing for easy nested resampling. Most operations can be parallelized...

multtest
 Referenced in 20 articles
[sw08262]
 multtest: Resamplingbased multiple hypothesis testing. Nonparametric bootstrap and permutation resamplingbased multiple testing...

ipred
 Referenced in 24 articles
[sw08001]
 regression and survival problems as well as resampling based estimators of prediction error...

Resampling Stats
 Referenced in 12 articles
[sw06019]
 hate the subject.Complexity is the disease. Resampling (drawing repeated samples from the given data ... other computerintensive 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...

penalized
 Referenced in 23 articles
[sw06071]
 evaluation, crossvalidation is a frequently used resampling method. Unfortunately, this method can be quite...

Signal Processing Toolbox
 Referenced in 23 articles
[sw06876]
 visualize signals. The toolbox includes algorithms for resampling, smoothing, and synchronizing signals, designing and analyzing...

HumanEva
 Referenced in 23 articles
[sw15489]
 optimization in the form of Sequential Importance Resampling and Annealed Particle Filtering. In the context...

GSHMC
 Referenced in 16 articles
[sw02631]
 Metropolis acceptance criterion and a momentum resampling step. While the HMC method completely resamples...

ORIOGEN
 Referenced in 15 articles
[sw07654]
 common practice to use resampling methods such as the bootstrap for calculating the pvalue...

rootsb
 Referenced in 13 articles
[sw11379]
 sometimes better for accuracy to resample the functions when working in a subdivided, smaller domain...

pvclust
 Referenced in 9 articles
[sw07120]
 Clustering with PValues via Multiscale Bootstrap Resampling. pvclust is a package for assessing ... boostrap probability) values computed via multiscale bootstrap resampling...

gldex
 Referenced in 9 articles
[sw10548]
 examine the quality of fit through the resample KolmogorovSmirnoff test, quantile plots and comparison...

HAPGEN2
 Referenced in 4 articles
[sw17354]
 genomewide 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...

AdaptFitOS
 Referenced in 6 articles
[sw06774]
 simultaneous inference directly, that is, without resampling methods. Finite sample properties of simultaneous confidence bands...

AABC
 Referenced in 6 articles
[sw16116]
 large number of data sets by Bayesian resampling methods. We show that under mild assumptions...

kdecopula
 Referenced in 6 articles
[sw20374]
 copula densities, in particular density estimation and resampling...

SSD
 Referenced in 6 articles
[sw26652]
 proposal generation and subsequent pixel or feature resampling stage and encapsulates all computation...

ClusCorr98
 Referenced in 4 articles
[sw01994]
 clustering techniques with inbuilt validation via resampling. Using special weights of observations leads ... wellknown resampling techniques. By doing so, the appropriate number of clusters can be validated...

Metawin
 Referenced in 4 articles
[sw24643]
 Metawin: Statistical Software for MetaAnalysis with Resampling Tests. This manual shows you a statistical ... program will also allow you to incorporate resampling tests into your metaanalysis. 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...