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 265 articles , 1 standard article )

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  1. Dattner, Itai; Ship, Harold; Voit, Eberhard O.: Separable nonlinear least-squares parameter estimation for complex dynamic systems (2020)
  2. Fuino, Michel; Wagner, Joël: Duration of long-term care: socio-economic factors, type of care interactions and evolution (2020)
  3. González, Miguel; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés: Approximate Bayesian computation in controlled branching processes: the role of summary statistics (2020)
  4. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  5. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  6. Jhwueng, Dwueng-Chwuan: Modeling rate of adaptive trait evolution using Cox-Ingersoll-Ross process: an approximate Bayesian computation approach (2020)
  7. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  8. Lisa Amrhein, Christiane Fuchs: stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R (2020) arXiv
  9. Riko Kelter: bayest: An R Package for Effect-Size Targeted Bayesian Two-Sample t-Tests (2020) not zbMATH
  10. Roustant, Olivier; Padonou, Espéran; Deville, Yves; Clément, Aloïs; Perrin, Guillaume; Giorla, Jean; Wynn, Henry: Group kernels for Gaussian process metamodels with categorical inputs (2020)
  11. Tomer, Sanjeev K.; Panwar, M. S.: A review on inverse Maxwell distribution with its statistical properties and applications (2020)
  12. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  13. Virta, Joni; Li, Bing; Nordhausen, Klaus; Oja, Hannu: Independent component analysis for multivariate functional data (2020)
  14. Agostinelli, Claudio; Valdora, Marina; Yohai, Victor J.: Initial robust estimation in generalized linear models (2019)
  15. Angelov, Angel G.; Ekström, Magnus; Kriström, Bengt; Nilsson, Mats E.: Four-decision tests for stochastic dominance, with an application to environmental psychophysics (2019)
  16. Baíllo, Amparo; Cárcamo, Javier; Getman, Konstantin: New distance measures for classifying X-ray astronomy data into stellar classes (2019)
  17. Barbeito, Inés; Cao, Ricardo: Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation (2019)
  18. Biernacki, Christophe; Lourme, Alexandre: Unifying data units and models in (co-)clustering (2019)
  19. Boonstra, Philip S.; Barbaro, Ryan P.; Sen, Ananda: Default priors for the intercept parameter in logistic regressions (2019)
  20. Cerqueira, Vitor; Torgo, Luís; Pinto, Fábio; Soares, Carlos: Arbitrage of forecasting experts (2019)

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