References in zbMATH (referenced in 56 articles )

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  1. Embrechts, P.; Kirchner, M.: Hawkes graphs (2018)
  2. John Hughes: sklarsomega: An R Package for Measuring Agreement Using Sklar's Omega Coefficient (2018) arXiv
  3. Suesse, Thomas: Marginal maximum likelihood estimation of SAR models with missing data (2018)
  4. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018)
  5. Amatya, Anup; Demirtas, Hakan: PoisNor: an R package for generation of multivariate data with Poisson and normal marginals (2017)
  6. Andrew Zammit-Mangion, Noel Cressie: FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets (2017) arXiv
  7. Barber, Xavier; Conesa, David; López-Quílez, Antonio; Mayoral, Asunción; Morales, Javier; Barber, Antoni: Bayesian hierarchical models for analysing the spatial distribution of bioclimatic indices (2017)
  8. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  9. Demirtas, Hakan: Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials (2017)
  10. Howard, James P. II: Computational methods for numerical analysis with R (2017)
  11. Jacob van Etten: R Package gdistance: Distances and Routes on Geographical Grids (2017)
  12. Jouni Helske: KFAS: Exponential Family State Space Models in R (2017)
  13. McSwiggan, Greg; Baddeley, Adrian; Nair, Gopalan: Kernel density estimation on a linear network (2017)
  14. Michael Braun: sparseHessianFD: An R Package for Estimating Sparse Hessian Matrices (2017)
  15. Morales, Juan Manuel; di Virgilio, Agustina; Delgado, María del Mar; Ovaskainen, Otso: A general approach to model movement in (highly) fragmented patch networks (2017)
  16. Niki Zumbrunnen and Lutz Dümbgen: pvclass: An R Package for p Values for Classification (2017)
  17. Pariya Behrouzi, Ernst C. Wit: netgwas: An R Package for Network-Based Genome-Wide Association Studies (2017) arXiv
  18. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017)
  19. David Smith and Malcolm Faddy: Mean and Variance Modeling of Under- and Overdispersed Count Data (2016)
  20. Kasper Kristensen and Anders Nielsen and Casper Berg and Hans Skaug and Bradley Bell: TMB: Automatic Differentiation and Laplace Approximation (2016)

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