R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project homepage for further information. CRAN is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R. Please use the CRAN mirror nearest to you to minimize network load

References in zbMATH (referenced in 234 articles )

Showing results 1 to 20 of 234.
Sorted by year (citations)

1 2 3 ... 10 11 12 next

  1. Abi-ayad, Ilham; Mourid, Tahar: Parametric estimation for non recurrent diffusion processes (2018)
  2. Barigozzi, Matteo; Cho, Haeran; Fryzlewicz, Piotr: Simultaneous multiple change-point and factor analysis for high-dimensional time series (2018)
  3. Fasiolo, Matteo; Wood, Simon N.; Hartig, Florian; Bravington, Mark V.: An extended empirical saddlepoint approximation for intractable likelihoods (2018)
  4. Fong, Christian; Hazlett, Chad; Imai, Kosuke: Covariate balancing propensity score for a continuous treatment: application to the efficacy of political advertisements (2018)
  5. Haselimashhadi, Hamed; Vinciotti, Veronica: Penalised inference for lagged dependent regression in the presence of autocorrelated residuals (2018)
  6. Imani, Mahdi; Braga-Neto, Ulisses M.: Particle filters for partially-observed Boolean dynamical systems (2018)
  7. Miller, Craig R.; Van Leuven, James T.; Wichman, Holly A.; Joyce, Paul: Selecting among three basic fitness landscape models: additive, multiplicative and stickbreaking (2018)
  8. Perrot-Dockès, Marie; Lévy-Leduc, Céline; Sansonnet, Laure; Chiquet, Julien: Variable selection in multivariate linear models with high-dimensional covariance matrix estimation (2018)
  9. Pruim, Randall: Foundations and applications of statistics. An introduction using R (2018)
  10. Shih, Jia-Han; Emura, Takeshi: Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula (2018)
  11. Shin, Minsuk; Bhattacharya, Anirban; Johnson, Valen E.: Scalable Bayesian variable selection using nonlocal prior densities in ultrahigh-dimensional settings (2018)
  12. Tsagris, Michail; Stewart, Connie: A Dirichlet regression model for compositional data with zeros (2018)
  13. Adam Kaplan, Eric F. Lock: Prediction with Dimension Reduction of Multiple Molecular Data Sources for Patient Survival (2017) arXiv
  14. Amir Nikooienejad, Wenyi Wang, Valen E. Johnson: Bayesian Variable Selection in High Dimensional Survival Time Cancer Genomic Datasets using Nonlocal Priors (2017) arXiv
  15. Andrew Zammit-Mangion, Noel Cressie: FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets (2017) arXiv
  16. Ashley Petersen, Noah Simon, Daniela Witten: SCALPEL: Extracting Neurons from Calcium Imaging Data (2017) arXiv
  17. Bilodeau, Martin; Nangue, Aurélien Guetsop: Tests of mutual or serial independence of random vectors with applications (2017)
  18. Bryon Aragam, Jiaying Gu, Qing Zhou: Learning Large-Scale Bayesian Networks with the sparsebn Package (2017) arXiv
  19. Chakar, S.; Lebarbier, E.; Lévy-Leduc, C.; Robin, S.: A robust approach for estimating change-points in the mean of an $\mathrmAR(1)$ process (2017)
  20. Chang, Jinyuan; Zhou, Wen; Zhou, Wen-Xin; Wang, Lan: Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering (2017)

1 2 3 ... 10 11 12 next

Further publications can be found at: