SparseM

SparseM: a sparse matrix package for R. SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the package is illustrated by a family of linear model fitting functions that implement least squares methods for problems with sparse design matrices. Significant performance improvements in memory utilization and computational speed are possible for applications involving large sparse matrices.


References in zbMATH (referenced in 23 articles , 1 standard article )

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  1. Chae, Minwoo; Walker, Stephen G.: An EM-based iterative method for solving large sparse linear systems (2020)
  2. Xu Dong, Luis Castro, Nazrul Shaikh: fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks (2020) not zbMATH
  3. Giorgio Speranza, Roberto Canteri: RxpsG a new open project for Photoelectron and Electron Spectroscopy data processing (2019) not zbMATH
  4. Suman Rakshit; Adrian Baddeley; Gopalan Nair: Efficient Code for Second Order Analysis of Events on a Linear Network (2019) not zbMATH
  5. Howard, James P. II: Computational methods for numerical analysis with R (2017)
  6. Jhong, Jae-Hwan; Koo, Ja-Yong; Lee, Seong-Whan: Penalized B-spline estimator for regression functions using total variation penalty (2017)
  7. Hyndman, Rob J.; Lee, Alan J.; Wang, Earo: Fast computation of reconciled forecasts for hierarchical and grouped time series (2016)
  8. Rao, Marepalli B. (ed.); Rao, C. R. (ed.): Computational statistics with R (2014)
  9. De Livera, Alysha M.; Hyndman, Rob J.; Snyder, Ralph D.: Forecasting time series with complex seasonal patterns using exponential smoothing (2011)
  10. Haupt, Harry; Kagerer, Kathrin; Schnurbus, Joachim: Cross-validating fit and predictive accuracy of nonlinear quantile regressions (2011)
  11. Hyndman, Rob J.; Ahmed, Roman A.; Athanasopoulos, George; Shang, Han Lin: Optimal combination forecasts for hierarchical time series (2011)
  12. Patriota, Alexandre G.: A note on influence diagnostics in nonlinear mixed-effects elliptical models (2011)
  13. Wang, Huixia Judy; Hu, Jianhua: Identification of differential aberrations in multiple-sample array CGH studies (2011)
  14. Reinhard Furrer; Stephan Sain: spam: A Sparse Matrix R Package with Emphasis on MCMC Methods for Gaussian Markov Random Fields (2010) not zbMATH
  15. Carter Butts: Social Network Analysis with sna (2008) not zbMATH
  16. Carter Butts: network: A Package for Managing Relational Data in R (2008) not zbMATH
  17. Yves Croissant; Giovanni Millo: Panel Data Econometrics in R: The plm Package (2008) not zbMATH
  18. Herrero, José R.; Navarro, Juan J.: Analysis of a sparse hypermatrix Cholesky with fixed-sized blocking (2007)
  19. Ng, Pin; Maechler, Martin: A fast and efficient implementation of qualitatively constrained quantile smoothing splines (2007)
  20. Koenker, Roger; Ng, Pin: A Frisch-Newton algorithm for sparse quantile regression (2005)

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