References in zbMATH (referenced in 40 articles )

Showing results 1 to 20 of 40.
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  1. Xiaoxuan Liang, Aaron Cohen, Anibal Solón Heinsfeld, Franco Pestilli, Daniel J. McDonald: sparsegl: An R Package for Estimating Sparse Group Lasso (2022) arXiv
  2. Fernando Palluzzi, Mario Grassi: SEMgraph: An R Package for Causal Network Analysis of High-Throughput Data with Structural Equation Models (2021) arXiv
  3. Hosszejni, D.; Kastner, G: Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol (2021) not zbMATH
  4. Kersting, Sophie J.; Fischer, Mareike: Measuring tree balance using symmetry nodes -- a new balance index and its extremal properties (2021)
  5. Mayrink, V. D., Duarte, J. D. N., Demarqui, F. N.: pexm: A JAGS Module for Applications Involving the Piecewise Exponential Distribution (2021) not zbMATH
  6. Mohammad Ghasempour, Xavier de Luna: SDRcausal: an R package for causal inference based on sufficient dimension reduction (2021) arXiv
  7. Peder Bacher, Hjörleifur G. Bergsteinsson, Linde Frölke, Mikkel L. Sørensen, Julian Lemos-Vinasco, Jon Liisberg, Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen: onlineforecast: An R package for adaptive and recursive forecasting (2021) arXiv
  8. Phaphan, Wikanda: R package for the two-parameters crack distribution (2021)
  9. Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao: FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces (2020) arXiv
  10. Griffin, Maryclare; Hoff, Peter D.: Testing sparsity-inducing penalties (2020)
  11. Justine Lequesne, Philippe Regnault: vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence (2020) not zbMATH
  12. Lin Wang, Wei Zhang, Qizhai Li: AssocTests: An R Package for Genetic Association Studies (2020) not zbMATH
  13. Annette Möller, Jürgen Groß: Probabilistic Temperature Forecasting with a Heteroscedastic Autoregressive Ensemble Postprocessing model (2019) arXiv
  14. Baumer, Benjamin S.: A grammar for reproducible and painless extract-transform-load operations on medium data (2019)
  15. Calvin, K., Link, R. and Wise, M.: gcamland v1.0 - An R Package for Modelling Land Use and Land Cover Change (2019) not zbMATH
  16. Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke: rFIA: An R package for space-time estimation of forest attributes with the Forest Inventory and Analysis Database (2019) arXiv
  17. Malcolm S. Itter, Jarno Vanhatalo, Andrew O. Finley: EcoMem: An R package for quantifying ecological memory (2019) arXiv
  18. María Florencia D’Andrea; Julie Céline Brodeur: shinyssd v1.0: Species Sensitivity Distributions for Ecotoxicological Risk Assessment (2019) not zbMATH
  19. Maximilian Linde; Don van Ravenzwaaij: baymedr: An R Package for the Calculation of Bayes Factors for Equivalence, Non-Inferiority, and Superiority Designs (2019) arXiv
  20. Robert Geitner and Robby Fritzsch and Jürgen Popp and Thomas Bocklitz: corr2D: Implementation of Two-Dimensional Correlation Analysis in R (2019) not zbMATH

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