S-PLUS

S-PLUS is a powerful environment for statistical and graphical analysis of data. It provides the tools to implement many standard and modern statistical methods made possible by the widespread availability of workstations having good graphics and computational capabilities.


References in zbMATH (referenced in 394 articles , 1 standard article )

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  1. Davies, Vinny; Reeve, Richard; Harvey, William T.; Maree, Francois F.; Husmeier, Dirk: A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution (2017)
  2. Elster, Clemens; Wübbeler, Gerd: Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances (2017)
  3. Ferreira, Dário; Ferreira, Sandra; Nunes, Célia; Fonseca, Miguel; Silva, Adilson; Mexia, João T.: Estimation and incommutativity in mixed models (2017)
  4. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  5. Hämäläinen, Raimo P.; Leppänen, Ilkka: Cheap talk and cooperation in Stackelberg games (2017)
  6. Kühnel, Line; Sommer, Stefan; Pai, Akshay; Raket, Lars Lau: Most likely separation of intensity and warping effects in image registration (2017)
  7. Pande, Amol; Li, Liang; Rajeswaran, Jeevanantham; Ehrlinger, John; Kogalur, Udaya B.; Blackstone, Eugene H.; Ishwaran, Hemant: Boosted multivariate trees for longitudinal data (2017)
  8. Sacco, Chiara; Viroli, Cinzia; Falchi, Mario: A statistical test for detecting parent-of-origin effects when parental information is missing (2017)
  9. Wood, Simon N.: Generalized additive models. An introduction with R. (2017)
  10. Costa Mota Paraíba, Carolina; Ribeiro Diniz, Carlos Alberto: Randomly truncated nonlinear mixed-effects models (2016)
  11. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  12. Furlan, Sarah; Agnoli, Franca; Reyna, Valerie F.: Intuition and analytic processes in probabilistic reasoning: the role of time pressure (2016) MathEduc
  13. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  14. Katahira, Kentaro: How hierarchical models improve point estimates of model parameters at the individual level (2016)
  15. Kogan, Clark; Kalachev, Leonid; Van Dongen, Hans P.A.: Prediction accuracy in multivariate repeated-measures Bayesian forecasting models with examples drawn from research on sleep and circadian rhythms (2016)
  16. Kohli, Nidhi; Harring, Jeffrey R.; Zopluoglu, Cengiz: A finite mixture of nonlinear random coefficient models for continuous repeated measures data (2016)
  17. Matos, Larissa A.; Castro, Luis M.; Lachos, Víctor H.: Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads (2016)
  18. Wang, Wei: Identifiability of covariance parameters in linear mixed effects models (2016)
  19. Chan, Ngai Hang; Wong, Hoi Ying: Simulation techniques in financial risk management (2015)
  20. Faraway, Julian J.: Linear models with R (2015)

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