R package coda: Output analysis and diagnostics for MCMC , Output analysis and diagnostics for Markov Chain Monte Carlo simulations. Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the equilibrium distribution of the Markov chain. (Source:

References in zbMATH (referenced in 302 articles )

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  1. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2022)
  2. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  3. Francesco Denti: intRinsic: an R package for model-based estimation of the intrinsic dimension of a dataset (2021) arXiv
  4. Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner: Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package (2021) arXiv
  5. Holbrook, Andrew J.; Loeffler, Charles E.; Flaxman, Seth R.; Suchard, Marc A.: Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data (2021)
  6. Jean-Paul Fox, Konrad Klotzke, Rinke Klein Entink: LNIRT: An R Package for Joint Modeling of Response Accuracy and Times (2021) arXiv
  7. Raim, Andrew M.; Holan, Scott H.; Bradley, Jonathan R.; Wikle, Christopher K.: Spatio-temporal change of support modeling with \textttR (2021)
  8. Rodney Sparapani, Charles Spanbauer, Robert McCulloch: Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package (2021) not zbMATH
  9. Zheng, Kaikai; Shi, Dawei; Shi, Ling: Learning hidden Markov models for linear Gaussian systems with applications to event-based state estimation (2021)
  10. Andrew Finley, Abhirup Datta, Sudipto Banerjee: R package for Nearest Neighbor Gaussian Process models (2020) arXiv
  11. Anne Philippe, Marie-Anne Vibet: Analysis of Archaeological Phases Using the R Package ArchaeoPhases (2020) not zbMATH
  12. Aßfalg, André; Klauer, Karl Christoph: Consensus theory for multiple latent traits and consensus groups (2020)
  13. Castro Morales, Fidel Ernesto; Vicini, Lorena: A non-homogeneous Poisson process geostatistical model with spatial deformation (2020)
  14. Chen, Jinsong: A partially confirmatory approach to the multidimensional item response theory with the Bayesian Lasso (2020)
  15. Gilani, Owais; Urbanek, Simon; Kane, Michael J.: Distributions of human exposure to ozone during commuting hours in Connecticut using the cellular device network (2020)
  16. González, Miguel; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés: Approximate Bayesian computation in controlled branching processes: the role of summary statistics (2020)
  17. Gunawan, D.; Hawkins, G. E.; Tran, M.-N.; Kohn, R.; Brown, S. D.: New estimation approaches for the hierarchical linear ballistic accumulator model (2020)
  18. Jacob, Pierre E.; Lindsten, Fredrik; Schön, Thomas B.: Smoothing with couplings of conditional particle filters (2020)
  19. Joukar, A.; Ramezani, M.; Mirmostafaee, S. M. T. K.: Estimation of (P(X > Y)) for the power Lindley distribution based on progressively type II right censored samples (2020)
  20. Kumar, Devendra; Dey, Sanku; Ormoz, Ehsan; MirMostafaee, S. M. T. K.: Inference for the unit-Gompertz model based on record values and inter-record times with an application (2020)

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