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 255 articles )

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  1. Andrew Finley, Abhirup Datta, Sudipto Banerjee: R package for Nearest Neighbor Gaussian Process models (2020) arXiv
  2. González, Miguel; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés: Approximate Bayesian computation in controlled branching processes: the role of summary statistics (2020)
  3. 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)
  4. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv
  5. Nino-Ruiz, Elias D.: A numerical method for solving linear systems in the preconditioned Crank-Nicolson algorithm (2020)
  6. Papastamoulis, Panagiotis: Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components (2020)
  7. Radivojević, Tijana; Akhmatskaya, Elena: Modified Hamiltonian Monte Carlo for Bayesian inference (2020)
  8. Renato Valladares Panaro: spsurv: An R package for semi-parametric survival analysis (2020) arXiv
  9. Riko Kelter: bayest: An R Package for Effect-Size Targeted Bayesian Two-Sample t-Tests (2020) not zbMATH
  10. Waleed Almutiry, Vineetha Warriyar K V, Rob Deardon: Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT (2020) arXiv
  11. Wehrhahn, Claudia; Leonard, Samuel; Rodriguez, Abel; Xifara, Tatiana: A Bayesian approach to disease clustering using restricted Chinese restaurant processes (2020)
  12. Yiqi, Bao; Cancho, Vicente G.; Dey, Dipak K.; Balakrishnan, Narayanaswamy; Suzuki, Adriano K.: Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution (2020)
  13. Amaral Turkman, Maria Antónia; Paulino, Carlos Daniel; Müller, Peter: Computational Bayesian statistics. An introduction (2019)
  14. Andersson, C.; Rajala, T.; Särkkä, A.: A Bayesian hierarchical point process model for epidermal nerve fiber patterns (2019)
  15. Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley, Christopher K. Wikle: An R Package for Spatio-Temporal Change of Support (2019) arXiv
  16. Angela Bitto-Nemling, Annalisa Cadonna, Sylvia Frühwirth-Schnatter, Peter Knaus: Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP (2019) arXiv
  17. Arellano-Valle, Reinaldo B.; Contreras-Reyes, Javier E.; Quintero, Freddy O. López; Valdebenito, Abel: A skew-normal dynamic linear model and Bayesian forecasting (2019)
  18. Bao, Yiqi; Cancho, Vicente G.; Louzada, Francisco; Suzuki, Adriano K.: Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data (2019)
  19. Bitto, Angela; Frühwirth-Schnatter, Sylvia: Achieving shrinkage in a time-varying parameter model framework (2019)
  20. Burda, Martin; Bélisle, Louis: Copula multivariate GARCH model with constrained Hamiltonian Monte Carlo (2019)

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