CODA

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: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 298 articles )

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  1. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  2. Francesco Denti: intRinsic: an R package for model-based estimation of the intrinsic dimension of a dataset (2021) arXiv
  3. Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner: Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package (2021) arXiv
  4. 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)
  5. Raim, Andrew M.; Holan, Scott H.; Bradley, Jonathan R.; Wikle, Christopher K.: Spatio-temporal change of support modeling with \textttR (2021)
  6. Rodney Sparapani, Charles Spanbauer, Robert McCulloch: Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package (2021) not zbMATH
  7. Zheng, Kaikai; Shi, Dawei; Shi, Ling: Learning hidden Markov models for linear Gaussian systems with applications to event-based state estimation (2021)
  8. Andrew Finley, Abhirup Datta, Sudipto Banerjee: R package for Nearest Neighbor Gaussian Process models (2020) arXiv
  9. Anne Philippe, Marie-Anne Vibet: Analysis of Archaeological Phases Using the R Package ArchaeoPhases (2020) not zbMATH
  10. Aßfalg, André; Klauer, Karl Christoph: Consensus theory for multiple latent traits and consensus groups (2020)
  11. Castro Morales, Fidel Ernesto; Vicini, Lorena: A non-homogeneous Poisson process geostatistical model with spatial deformation (2020)
  12. Chen, Jinsong: A partially confirmatory approach to the multidimensional item response theory with the Bayesian Lasso (2020)
  13. Gilani, Owais; Urbanek, Simon; Kane, Michael J.: Distributions of human exposure to ozone during commuting hours in Connecticut using the cellular device network (2020)
  14. González, Miguel; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés: Approximate Bayesian computation in controlled branching processes: the role of summary statistics (2020)
  15. Gunawan, D.; Hawkins, G. E.; Tran, M.-N.; Kohn, R.; Brown, S. D.: New estimation approaches for the hierarchical linear ballistic accumulator model (2020)
  16. Jacob, Pierre E.; Lindsten, Fredrik; Schön, Thomas B.: Smoothing with couplings of conditional particle filters (2020)
  17. 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)
  18. 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)
  19. Lobo, Viviana G. R.; Fonseca, Thaís C. O.: Bayesian residual analysis for spatially correlated data (2020)
  20. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv

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