References in zbMATH (referenced in 35 articles )

Showing results 1 to 20 of 35.
Sorted by year (citations)

1 2 next

  1. Fernando Palluzzi, Mario Grassi: SEMgraph: An R Package for Causal Network Analysis of High-Throughput Data with Structural Equation Models (2021) arXiv
  2. Mayrink, V. D., Duarte, J. D. N., Demarqui, F. N.: pexm: A JAGS Module for Applications Involving the Piecewise Exponential Distribution (2021) not zbMATH
  3. Mohammad Ghasempour, Xavier de Luna: SDRcausal: an R package for causal inference based on sufficient dimension reduction (2021) arXiv
  4. 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
  5. Phaphan, Wikanda: R package for the two-parameters crack distribution (2021)
  6. Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao: FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces (2020) arXiv
  7. Justine Lequesne, Philippe Regnault: vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence (2020) not zbMATH
  8. Lin Wang, Wei Zhang, Qizhai Li: AssocTests: An R Package for Genetic Association Studies (2020) not zbMATH
  9. Annette Möller, Jürgen Groß: Probabilistic Temperature Forecasting with a Heteroscedastic Autoregressive Ensemble Postprocessing model (2019) arXiv
  10. Calvin, K., Link, R. and Wise, M.: gcamland v1.0 - An R Package for Modelling Land Use and Land Cover Change (2019) not zbMATH
  11. 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
  12. Malcolm S. Itter, Jarno Vanhatalo, Andrew O. Finley: EcoMem: An R package for quantifying ecological memory (2019) arXiv
  13. María Florencia D’Andrea; Julie Céline Brodeur: shinyssd v1.0: Species Sensitivity Distributions for Ecotoxicological Risk Assessment (2019) not zbMATH
  14. Maximilian Linde; Don van Ravenzwaaij: baymedr: An R Package for the Calculation of Bayes Factors for Equivalence, Non-Inferiority, and Superiority Designs (2019) arXiv
  15. Robert Geitner and Robby Fritzsch and Jürgen Popp and Thomas Bocklitz: corr2D: Implementation of Two-Dimensional Correlation Analysis in R (2019) not zbMATH
  16. Diouf, Abdoulaye; Camara, Baba Issa; Ngom, Diène; Toumi, Héla; Felten, Vincent; Masfaraud, Jean-François; Férard, Jean-François: Bayesian inference of a dynamical model evaluating Deltamethrin effect on \textitDaphnia survival (2018)
  17. Francisco Charte, Antonio J. Rivera, David Charte, María J. del Jesus, Francisco Herrera: Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository (2018) arXiv
  18. Golyandina, Nina; Korobeynikov, Anton; Zhigljavsky, Anatoly: Singular spectrum analysis with R (2018)
  19. Leopoldo Catania; Nima Nonejad: Dynamic Model Averaging for Practitioners in Economics and Finance: The eDMA Package (2018) not zbMATH
  20. M. Cristina Heredia-Gómez; Salvador García; Pedro Antonio Gutiérrez; Francisco Herrera: OCAPIS: R package for Ordinal Classification And Preprocessing In Scala (2018) arXiv

1 2 next