microbenchmark

R package microbenchmark: Accurate Timing Functions. Provides infrastructure to accurately measure and compare the execution time of R expressions.

Keywords for this software

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References in zbMATH (referenced in 37 articles )

Showing results 1 to 20 of 37.
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  1. Murray, James; Philipson, Pete: A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data (2022)
  2. O’Neill, Ben: Computing highest density regions for continuous univariate distributions with known probability functions (2022)
  3. Christian Thiele; Gerrit Hirschfeld: cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R (2021) not zbMATH
  4. Hintz, Erik; Hofert, Marius; Lemieux, Christiane: Normal variance mixtures: distribution, density and parameter estimation (2021)
  5. Jacek Wesołowski, Robert Wieczorkowski, Wojciech Wójciak: Optimality of the recursive Neyman allocation (2021) arXiv
  6. Jason Willwerscheid, Matthew Stephens: ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families (2021) arXiv
  7. Kendal B. Foster, Henrik Singmann: Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model (2021) arXiv
  8. Maximilian Leodolter, Claudia Plant, Norbert Brändle: IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping (2021) not zbMATH
  9. Michael Stephanou, Melvin Varughese: hermiter: R package for Sequential Nonparametric Estimation (2021) arXiv
  10. Móri, Tamás F.; Székely, Gábor J.; Rizzo, Maria L.: On energy tests of normality (2021)
  11. Polansky, Alan M.; Pramanik, Paramahansa: A motif building process for simulating random networks (2021)
  12. Tobias Schoch: wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression (2021) not zbMATH
  13. Frank M. T. A. Busing: Monotone Regression: A Simple and Fast O(n) PAVA Implementation (2020) not zbMATH
  14. James P. Howard, II: Phonetic Spelling Algorithm Implementations for R (2020) not zbMATH
  15. Martin Happ, Georg Zimmermann, Edgar Brunner, Arne C. Bathke: Pseudo-Ranks: How to Calculate Them Efficiently in R (2020) not zbMATH
  16. Martinovič, T.: Alternative approaches of evaluating the (0-1) test for chaos (2020)
  17. Powell, Ben; Smith, Paul A.: Computing expectations and marginal likelihoods for permutations (2020)
  18. Dufour, Jean-Marie; Neves, Julien: Finite-sample inference and nonstandard asymptotics with Monte Carlo tests and \textsfR (2019)
  19. Gaynanova, Irina; Wang, Tianying: Sparse quadratic classification rules via linear dimension reduction (2019)
  20. Iñaki Ucar; Bart Smeets; Arturo Azcorra: simmer: Discrete-Event Simulation for R (2019) not zbMATH

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