RcppEigen: Rcpp integration for the Eigen templated linear algebra library. R and Eigen integration using Rcpp. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on Lapack and level-3 BLAS. The RcppEigen package includes the header files from the Eigen C++ template library (currently version 3.2.2). Thus users do not need to install Eigen itself in order to use RcppEigen. Since version 3.1.1, Eigen is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. RcppEigen (the Rcpp bindings/bridge to Eigen) is licensed under the GNU GPL version 2 or later, as is the rest of Rcpp.

References in zbMATH (referenced in 22 articles , 1 standard article )

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  1. Cao, J., Genton, M. G., Keyes, D. E., Turkiyyah, G. M. : tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student-t Probabilities with Low-Rank Methods in R (2022) not zbMATH
  2. Ozan Cinar, Wolfgang Viechtbauer: The poolr Package for Combining Independent and Dependent p Values (2022) not zbMATH
  3. Suchit Mehrotra, Arnab Maity: Variational Inference for Shrinkage Priors: The R package vir (2021) arXiv
  4. Tyler Morgan-Wall, George Khoury: Optimal Design Generation and Power Evaluation in R: The skpr Package (2021) not zbMATH
  5. Weber, S., Li, Y., Seaman III, J. W., Kakizume, T., Schmidli, H.: Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools (2021) not zbMATH
  6. Cong Xu, Pantelis Z. Hadjipantelis, Jane-Ling Wang: Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM (2020) not zbMATH
  7. Derek Beaton: Generalized eigen, singular value, and partial least squares decompositions: The GSVD package (2020) arXiv
  8. Lasinio, Giovanna Jona; Santoro, Mario; Mastrantonio, Gianluca: CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data (2020)
  9. Po-Hsien Huang: lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood (2020) not zbMATH
  10. El-Bachir, Yousra; Davison, Anthony C.: Fast automatic smoothing for generalized additive models (2019)
  11. Halaleh Kamari, Sylvie Huet, Marie-Luce Taupin: RKHSMetaMod : An R package to estimate the Hoeffding decomposition of an unknown function by solving RKHS Ridge Group Sparse optimization problem (2019) arXiv
  12. Maciej J. Dańko: hopit: An R Package for Analysis of Reporting Behavior Using Generalized Ordered Probit Models (2019) not zbMATH
  13. Zhang, Lu; Datta, Abhirup; Banerjee, Sudipto: Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments (2019)
  14. Zhu, Li; Huo, Zhiguang; Ma, Tianzhou; Oesterreich, Steffi; Tseng, George C.: Bayesian indicator variable selection to incorporate hierarchical overlapping group structure in multi-omics applications (2019)
  15. Marchese, Scott; Diao, Guoqing: Joint regression analysis of mixed-type outcome data via efficient scores (2018)
  16. Clifford Anderson-Bergman: icenReg: Regression Models for Interval Censored Data in R (2017) not zbMATH
  17. Michael Braun: sparseHessianFD: An R Package for Estimating Sparse Hessian Matrices (2017) not zbMATH
  18. Martinetti, Davide; Geniaux, Ghislain: ProbitSpatial R package: fast and accurate spatial probit estimations (2016)
  19. Giri Gopalan, Luke Bornn: FastGP: An R Package for Gaussian Processes (2015) arXiv
  20. Michael Braun: trustOptim: An R Package for Trust Region Optimization with Sparse Hessians (2014) not zbMATH

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