References in zbMATH (referenced in 12 articles , 1 standard article )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Sameh Abdulah, Yuxiao Li, Jian Cao, Hatem Ltaief, David E. Keyes, Marc G. Genton, Ying Sun: ExaGeoStatR: A Package for Large-Scale Geostatistics in R (2019) arXiv
  2. Tarak Kharrat; Georgi Boshnakov; Ian McHale; Rose Baker: Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package (2019) not zbMATH
  3. Camilo Jose Torres-Jimenez, Alvaro Mauricio Montenegro Diaz: An alternative to continuous univariate distributions supported on a bounded interval: The BMT distribution (2017) arXiv
  4. Howard, James P. II: Computational methods for numerical analysis with R (2017)
  5. Eric Ghysels and Virmantas Kvedaras and Vaidotas Zemlys: Mixed Frequency Data Sampling Regression Models: The R Package midasr (2016) not zbMATH
  6. Florent Baty; Christian Ritz; Sandrine Charles; Martin Brutsche; Jean-Pierre Flandrois; Marie-Laure Delignette-Muller: A Toolbox for Nonlinear Regression in R: The Package nlstools (2015) not zbMATH
  7. Roger Bivand; Gianfranco Piras: Comparing Implementations of Estimation Methods for Spatial Econometrics (2015) not zbMATH
  8. John Nash: On Best Practice Optimization Methods in R (2014) not zbMATH
  9. Michael Braun: trustOptim: An R Package for Trust Region Optimization with Sparse Hessians (2014) not zbMATH
  10. Nash, John C.: Nonlinear parameter optimization using R tools (2014)
  11. Ravi Varadhan: Numerical Optimization in R: Beyond optim (2014) not zbMATH
  12. John Nash; Ravi Varadhan: Unifying Optimization Algorithms to Aid Software System Users: optimx for R (2011) not zbMATH