• PASCAL VOC

  • Referenced in 120 articles [sw36507]
  • number of novel evaluation methods: a bootstrapping method for determining whether differences in the performance...
  • boot

  • Referenced in 52 articles [sw04518]
  • datasets for bootstrapping from the book ”Bootstrap Methods and Their Applications” by A. C. Davison...
  • flexclust

  • Referenced in 27 articles [sw04583]
  • cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability...
  • DCL

  • Referenced in 24 articles [sw11087]
  • reserving data, we derive a suprisingly simple method for forecasting IBNR and RBNS claims ... estimate the reporting and payment delay. Bootstrap methods provide prediction errors and make possible...
  • ORIOGEN

  • Referenced in 16 articles [sw07654]
  • Adaptive choice of the number of bootstrap samples in large scale multiple testing ... common practice to use resampling methods such as the bootstrap for calculating the p-value ... procedure used 1,000 bootstraps, then the proposed method required only 160 bootstraps. This methodology...
  • ROCR

  • Referenced in 42 articles [sw04551]
  • cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard...
  • GeSCA

  • Referenced in 8 articles [sw11467]
  • specified structural equation models. use the bootstrap method to estimate the standard errors of parameter...
  • refund

  • Referenced in 53 articles [sw07434]
  • practice. In this article, we propose a method for obtaining correct curve estimates by accounting ... bootstrap procedure is implemented to understand the uncertainty in principal component decomposition quantities. Our method...
  • copula

  • Referenced in 137 articles [sw14499]
  • extreme value and some more copula families. Methods for density, distribution, random number generation, bivariate ... copulas based on multipliers, the parametric bootstrap with several transformation options. Merged former package ’nacopula...
  • multtest

  • Referenced in 22 articles [sw08262]
  • parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling ... false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered ... quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety...
  • boottest

  • Referenced in 4 articles [sw37419]
  • terms are (perhaps multiway) clustered. Like bootstrap methods in general, the wild bootstrap is especially ... useful when conventional inference methods are unreliable because large-sample assumptions do not hold ... perform a wide variety of wild bootstrap tests, often at remarkable speed. It can also...
  • FHEW

  • Referenced in 19 articles [sw14880]
  • ciphertexts and keep computing on encrypted data. Bootstrapping in the latest implementation ... method to homomorphically compute simple bit operations, and refresh (bootstrap) the resulting output, which runs...
  • fpc

  • Referenced in 24 articles [sw07105]
  • Rand index. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters ... prediction strength, Fang and Wang’s bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables ... DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number...
  • Bolasso

  • Referenced in 26 articles [sw31649]
  • then intersecting the supports of the Lasso bootstrap estimates leads to consistent model selection. This ... compared favorably to other linear regression methods on synthetic data and datasets from...
  • HDCI

  • Referenced in 2 articles [sw32617]
  • data to estimate coefficients and use bootstrap method to obtain confidence intervals. Choices for regression...
  • vegetarian

  • Referenced in 2 articles [sw24142]
  • calculate diversity (e.g. Magurran 2004), this method offers the advantage of providing diversity numbers equivalents ... diversity measures are calculated using a bootstrap method described by Chao...
  • uroot

  • Referenced in 2 articles [sw18480]
  • tests. A parallel implementation of the bootstrap method requires a CUDA capable GPU with compute...
  • qLearn

  • Referenced in 16 articles [sw11117]
  • using an adaptive m-out-of-n bootstrap scheme. A dynamic treatment regime consists ... available treatment and covariate history. A common method for estimating an optimal dynamic treatment regime ... standard asymptotic approaches for inference like the bootstrap or Taylor series arguments to breakdown ... consider the m-out-of-n bootstrap for constructing confidence intervals for the parameters indexing...
  • mlr

  • Referenced in 27 articles [sw12357]
  • sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization ... multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with...
  • pbkrtest

  • Referenced in 6 articles [sw24087]
  • package pbkrtest: Parametric Bootstrap and Kenward Roger Based Methods for Mixed Model Comparison. Test ... lme4’ package. This package implements a parametric bootstrap test and a Kenward Roger modification...