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 409 articles , 1 standard article )

Showing results 1 to 20 of 409.
Sorted by year (citations)

1 2 3 ... 19 20 21 next

  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. Pedersen, Morten Gram; Tagliavini, Alessia; Cortese, Giuliana; Riz, Michela; Montefusco, Francesco: Recent advances in mathematical modeling and statistical analysis of exocytosis in endocrine cells (2017)
  9. Sacco, Chiara; Viroli, Cinzia; Falchi, Mario: A statistical test for detecting parent-of-origin effects when parental information is missing (2017)
  10. Wegener, Michael; Kauermann, Göran: Forecasting in nonlinear univariate time series using penalized splines (2017)
  11. Wood, Simon N.: Generalized additive models. An introduction with R. (2017)
  12. Bühlmann, Peter: Partial least squares for heterogeneous data (2016)
  13. Costa Mota Paraíba, Carolina; Ribeiro Diniz, Carlos Alberto: Randomly truncated nonlinear mixed-effects models (2016)
  14. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  15. Furlan, Sarah; Agnoli, Franca; Reyna, Valerie F.: Intuition and analytic processes in probabilistic reasoning: the role of time pressure (2016) MathEduc
  16. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  17. Huque, Md Hamidul; Bondell, Howard D.; Carroll, Raymond J.; Ryan, Louise M.: Spatial regression with covariate measurement error: A semiparametric approach (2016)
  18. Katahira, Kentaro: How hierarchical models improve point estimates of model parameters at the individual level (2016)
  19. Ke, Yuan; Li, Jialiang; Zhang, Wenyang: Structure identification in panel data analysis (2016)
  20. Kloke, John: Generalized rank-based estimates for linear models with cluster correlated data (2016)

1 2 3 ... 19 20 21 next