MASS (R)

R package MASS: Support Functions and Datasets for Venables and Ripley’s MASS , Functions and datasets to support Venables and Ripley, ’Modern Applied Statistics with S’ (4th edition, 2002). (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 281 articles , 1 standard article )

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  1. Aaron Cochrane: TEfits: Nonlinear regression for time-evolving indices (2020) not zbMATH
  2. Brouste, Alexandre; Dutang, Christophe; Rohmer, Tom: Closed-form maximum likelihood estimator for generalized linear models in the case of categorical explanatory variables: application to insurance loss modeling (2020)
  3. Dattner, Itai; Ship, Harold; Voit, Eberhard O.: Separable nonlinear least-squares parameter estimation for complex dynamic systems (2020)
  4. Derek Beaton: Generalized eigen, singular value, and partial least squares decompositions: The GSVD package (2020) arXiv
  5. Fuino, Michel; Wagner, Joël: Duration of long-term care: socio-economic factors, type of care interactions and evolution (2020)
  6. González, Miguel; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés: Approximate Bayesian computation in controlled branching processes: the role of summary statistics (2020)
  7. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  8. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  9. Jhwueng, Dwueng-Chwuan: Modeling rate of adaptive trait evolution using Cox-Ingersoll-Ross process: an approximate Bayesian computation approach (2020)
  10. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  11. Lisa Amrhein, Christiane Fuchs: stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R (2020) arXiv
  12. Marius Hofert, Wayne Oldford : Zigzag Expanded Navigation Plots in R: The R Package zenplots (2020) not zbMATH
  13. Martínez-Hernández, Israel; Genton, Marc G.: Recent developments in complex and spatially correlated functional data (2020)
  14. Oviedo de la Fuente, Manuel; Cabo, Carlos; Ordóñez, Celestino; Roca-Pardiñas, Javier: Optimum scale selection for 3D point cloud classification through distance correlation (2020)
  15. Riko Kelter: bayest: An R Package for Effect-Size Targeted Bayesian Two-Sample t-Tests (2020) not zbMATH
  16. Roustant, Olivier; Padonou, Espéran; Deville, Yves; Clément, Aloïs; Perrin, Guillaume; Giorla, Jean; Wynn, Henry: Group kernels for Gaussian process metamodels with categorical inputs (2020)
  17. Tomer, Sanjeev K.; Panwar, M. S.: A review on inverse Maxwell distribution with its statistical properties and applications (2020)
  18. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  19. van Ginkel, Joost R.: Standardized regression coefficients and newly proposed estimators for (R^2) in multiply imputed data (2020)
  20. Virta, Joni; Li, Bing; Nordhausen, Klaus; Oja, Hannu: Independent component analysis for multivariate functional data (2020)

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