Matrix

R package Matrix: Sparse and Dense Matrix Classes and Methods , Classes and methods for dense and sparse matrices and operations on them using Lapack and SuiteSparse. (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 81 articles )

Showing results 1 to 20 of 81.
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  1. Bradley C. Saul, Michael G. Hudgens: The Calculus of M-Estimation in R with geex (2020) not zbMATH
  2. Kharrat, Tarak; McHale, Ian G.; Peña, Javier López: Plus-minus player ratings for soccer (2020)
  3. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv
  4. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  5. S. Thomas Kelly; Michael A. Black: graphsim: An R package for simulating gene expression data from graph structures of biological pathways (2020) not zbMATH
  6. Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley, Christopher K. Wikle: An R Package for Spatio-Temporal Change of Support (2019) arXiv
  7. Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Vialaneix: Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics (2019) arXiv
  8. Daniel Turek, Mark Risser: Bayesian nonstationary Gaussian process modeling: the BayesNSGP package for R (2019) arXiv
  9. David Smith; Malcolm Faddy: Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data (2019) not zbMATH
  10. Margaret Roberts; Brandon Stewart; Dustin Tingley: stm: An R Package for Structural Topic Models (2019) not zbMATH
  11. N. Benjamin Erichson, Sergey Voronin, Steven L. Brunton, J. Nathan Kutz: Randomized Matrix Decompositions Using R (2019) not zbMATH
  12. Suman Rakshit; Adrian Baddeley; Gopalan Nair: Efficient Code for Second Order Analysis of Events on a Linear Network (2019) not zbMATH
  13. Yuqing Pan, Qing Mai, Xin Zhang: TULIP: A Toolbox for Linear Discriminant Analysis with Penalties (2019) arXiv
  14. Embrechts, P.; Kirchner, M.: Hawkes graphs (2018)
  15. Fenn, R. and Wenzel, A.: Quandle and Biquandle Homology Calculation in R (2018) not zbMATH
  16. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  17. John Hughes: sklarsomega: An R Package for Measuring Agreement Using Sklar's Omega Coefficient (2018) arXiv
  18. Kirchner, M.; Bercher, A.: A nonparametric estimation procedure for the Hawkes process: comparison with maximum likelihood estimation (2018)
  19. Marie Perrot-Dockès, Céline Lévy-Leduc, Loïc Rajjou: Estimation of large block structured covariance matrices: Application to ”multi-omic” approaches to study seed quality (2018) arXiv
  20. Perrot-Dockès, Marie; Lévy-Leduc, Céline; Chiquet, Julien; Sansonnet, Laure; Brégère, Margaux; Étienne, Marie-Pierre; Robin, Stéphane; Genta-Jouve, Grégory: A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data (2018)

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