boot

R package boot: Bootstrap Functions (originally by Angelo Canty for S) , functions and datasets for bootstrapping from the book ”Bootstrap Methods and Their Applications” by A. C. Davison and D. V. Hinkley (1997, CUP). (Source: http://cran.r-project.org/web/packages)

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 48 articles )

Showing results 1 to 20 of 48.
Sorted by year (citations)

1 2 3 next

  1. Achim Zeileis, Susanne Köll, Nathaniel Graham: Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020) not zbMATH
  2. Blanche, Paul: Confidence intervals for the cumulative incidence function via constrained NPMLE (2020)
  3. Fuchs, Mathias; Hornung, Roman; Boulesteix, Anne-Laure; De Bin, Riccardo: On the asymptotic behaviour of the variance estimator of a (U)-statistic (2020)
  4. David Smith; Malcolm Faddy: Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data (2019) not zbMATH
  5. Nicolaie, Mioara Alina; Taylor, Jeremy M. G.; Legrand, Catherine: Vertical modeling: analysis of competing risks data with a cure fraction (2019)
  6. Sergio Venturini, Mehmet Mehmetoglu: plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares (2019) not zbMATH
  7. Tarak Kharrat; Georgi Boshnakov; Ian McHale; Rose Baker: Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package (2019) not zbMATH
  8. Duller, Christine: Introduction to nonparametric statistics with SAS, R and SPSS. An application-oriented text and working book (2018)
  9. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  10. Philip Leifeld; Skyler Cranmer; Bruce Desmarais: Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals (2018) not zbMATH
  11. Vivo, Juana-María; Franco, Manuel; Vicari, Donatella: Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range (2018)
  12. Yuri R. Fonseca, Ricardo P. Masini, Marcelo C. Medeiros , Gabriel F. R. Vasconcelos: ArCo: An R package to Estimate Artificial Counterfactuals (2018) not zbMATH
  13. Huffaker, Ray; Bittelli, Marco; Rosa, Rodolfo: Nonlinear time series analysis with R (2017)
  14. Johan Steen and Tom Loeys and Beatrijs Moerkerke and Stijn Vansteelandt: medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models (2017) not zbMATH
  15. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  16. Ekstrøm, Claus Thorn: The R primer (2016)
  17. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  18. Bertsimas, Dimitris; Brynjolfsson, Erik; Reichman, Shachar; Silberholz, John: OR forum: Tenure analytics: models for predicting research impact (2015)
  19. David Conde; Miguel Fernández; Bonifacio Salvador; Cristina Rueda: dawai: An R Package for Discriminant Analysis with Additional Information (2015) not zbMATH
  20. Douglas Bates; Martin Mächler; Ben Bolker; Steve Walker: Fitting Linear Mixed-Effects Models Using lme4 (2015) not zbMATH

1 2 3 next