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 607 articles , 1 standard article )

Showing results 1 to 20 of 607.
Sorted by year (citations)

1 2 3 ... 29 30 31 next

  1. Abbaszadeh, D.; Tavassoli Kajani, M.; Momeni, M.; Zahraei, M.; Maleki, M.: Solving fractional Fredholm integro-differential equations using Legendre wavelets (2021)
  2. Hoff, Peter: Additive and multiplicative effects network models (2021)
  3. Mauff, Katya; Erler, Nicole S.; Kardys, Isabella; Rizopoulos, Dimitris: Pairwise estimation of multivariate longitudinal outcomes in a Bayesian setting with extensions to the joint model (2021)
  4. M. Helena Gonçalves, M. Salomé Cabral: cold: An R Package for the Analysis of Count Longitudinal Data (2021) not zbMATH
  5. Wang, Meng; Jiang, Lihua; Snyder, Michael P.: AdaReg: data adaptive robust estimation in linear regression with application in GTEx gene expressions (2021)
  6. Akdur, Hatice Tul Kubra; Ozonur, Deniz; Bayrak, Hulya: An adaptation of pseudo-score confidence interval method for linear mixed models (2020)
  7. Argiento, Raffaele; Cremaschi, Andrea; Vannucci, Marina: Hierarchical normalized completely random measures to cluster grouped data (2020)
  8. Burgaard, Johan; Steffensen, Mogens: Eliciting risk preferences and elasticity of substitution (2020)
  9. Cunen, Céline; Walløe, Lars; Hjort, Nils Lid: Focused model selection for linear mixed models with an application to whale ecology (2020)
  10. Diabaté, Modibo; Coquille, Loren; Samson, Adeline: Parameter estimation and treatment optimization in a stochastic model for immunotherapy of cancer (2020)
  11. Everitt, Brian S.: A handbook of statistical analyses using S-PLUS (2020)
  12. Fuino, Michel; Wagner, Joël: Duration of long-term care: socio-economic factors, type of care interactions and evolution (2020)
  13. Galarza, Christian E.; Castro, Luis M.; Louzada, Francisco; Lachos, Victor H.: Quantile regression for nonlinear mixed effects models: a likelihood based perspective (2020)
  14. Hall, P.; Johnstone, I. M.; Ormerod, J. T.; Wand, M. P.; Yu, J. C. F.: Fast and accurate binary response mixed model analysis via expectation propagation (2020)
  15. Javeed, Aurya; Hooker, Giles: Timing observations of diffusions (2020)
  16. Nolan, Tui H.; Wand, Matt P.: Streamlined solutions to multilevel sparse matrix problems (2020)
  17. Pullenayegum, Eleanor M.: Meeting the assumptions of inverse-intensity weighting for longitudinal data subject to irregular follow-up: suggestions for the design and analysis of clinic-based cohort studies (2020)
  18. Reynolds, Angus; Kvam, Peter D.; Osth, Adam F.; Heathcote, Andrew: Correlated racing evidence accumulator models (2020)
  19. Roustant, Olivier; Padonou, Espéran; Deville, Yves; Clément, Aloïs; Perrin, Guillaume; Giorla, Jean; Wynn, Henry: Group kernels for Gaussian process metamodels with categorical inputs (2020)
  20. Shao, Yuanyuan; McKean, Joseph W.; Huitema, Bradley E.: Traditional and rank-based tests for ordered alternatives in a cluster correlated model (2020)

1 2 3 ... 29 30 31 next