R package numDeriv: Accurate Numerical Derivatives. This package provide methods for calculating (usually) accurate numerical first and second order derivatives. Accurate calculations are done using Richardson’s extrapolation or, when applicable, a complex step derivative is available. A simple difference method is also provided. Simple difference is (usually) less accurate but is much quicker than Richardson’s extrapolation and provides a useful cross-check. Methods are provided for real scalar and vector valued functions.

References in zbMATH (referenced in 36 articles )

Showing results 1 to 20 of 36.
Sorted by year (citations)

1 2 next

  1. Alireza S. Mahani; Mansour T.A. Sharabiani: Bayesian, and Non-Bayesian, Cause-Specific Competing-Risk Analysis for Parametric and Nonparametric Survival Functions: The R Package CFC (2019) not zbMATH
  2. David Ardia; Kris Boudt; Leopoldo Catania: Generalized Autoregressive Score Models in R: The GAS Package (2019) not zbMATH
  3. David Smith; Malcolm Faddy: Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data (2019) not zbMATH
  4. Di Caterina, Claudia; Kosmidis, Ioannis: Location-adjusted Wald statistics for scalar parameters (2019)
  5. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  6. John Hughes: sklarsomega: An R Package for Measuring Agreement Using Sklar's Omega Coefficient (2018) arXiv
  7. Salehi, Mahdi; Azzalini, Adelchi: On application of the univariate Kotz distribution and some of its extensions (2018)
  8. Bradley Saul; Michael Hudgens: A Recipe for inferference: Start with Causal Inference. Add Interference. Mix Well with R. (2017) not zbMATH
  9. Marra, Giampiero; Radice, Rosalba: Bivariate copula additive models for location, scale and shape (2017)
  10. Michael Braun: sparseHessianFD: An R Package for Estimating Sparse Hessian Matrices (2017) not zbMATH
  11. Sellers, Kimberly F.; Morris, Darcy S.: Underdispersion models: models that are “under the radar” (2017)
  12. Sellers, Kimberly F.; Swift, Andrew W.; Weems, Kimberly S.: A flexible distribution class for count data (2017)
  13. Costa Mota Paraíba, Carolina; Ribeiro Diniz, Carlos Alberto: Randomly truncated nonlinear mixed-effects models (2016)
  14. David Smith and Malcolm Faddy: Mean and Variance Modeling of Under- and Overdispersed Count Data (2016) not zbMATH
  15. Eric Ghysels and Virmantas Kvedaras and Vaidotas Zemlys: Mixed Frequency Data Sampling Regression Models: The R Package midasr (2016) not zbMATH
  16. Fabian A. Soto, Emily Zheng, Johnny Fonseca, F. Greg Ashby: Testing separability and independence of perceptual dimensions with general recognition theory: A tutorial and new R package (grtools) (2016) arXiv
  17. Nguyen, Hien D.; McLachlan, Geoffrey J.: Linear mixed models with marginally symmetric nonparametric random effects (2016)
  18. Agnieszka Król; Philippe Saint-Pierre: SemiMarkov: An R Package for Parametric Estimation in Multi-State Semi-Markov Models (2015) not zbMATH
  19. Graversen, Therese; Lauritzen, Steffen: Computational aspects of DNA mixture analysis (2015)
  20. Lange, Jane M.; Hubbard, Rebecca A.; Inoue, Lurdes Y. T.; Minin, Vladimir N.: A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data (2015)

1 2 next