MHadaptive swMATH ID: 9336 Software Authors: Corey Chivers Description: MHadaptive: General Markov Chain Monte Carlo for Bayesian Inference using adaptive Metropolis-Hastings sampling. Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation Homepage: http://cran.r-project.org/web/packages/MHadaptive/index.html Source Code: https://github.com/cran/MHadaptive Related Software: R; BayesDA; GPC; rr; SPLIDA; RMUTIL; repeated; maxLik; Maxlik; invgamma; armspp; AdequacyModel; nleqslv; Rcpp; gptk Cited in: 7 Publications all top 5 Cited by 19 Authors 2 Fu, Song 2 Zhang, Jincheng 1 Achcar, Jorge Alberto 1 Alizadeh, Morad 1 Alvear Rodríguez, Carlos Armando 1 Asgharzadeh, Akbar 1 Cheema, Salman Arif 1 Fallah, Adeleh 1 Gholami, Gholamhossein 1 Hussain, Zawar 1 Martínez Naranjo, Jessica Lizeth 1 Mirmostafaee, Seyed Mohammad Taghi 1 Nashi, Ali Najibpour 1 Ng, Hon Keung Tony 1 Pourdarvish, Ahmad 1 Rodrigues, Eliane Regina 1 Shah, Ejaz Ali 1 Shah, Said Farooq 1 Tovar Cueva, José Rafael all top 5 Cited in 6 Serials 2 Computers and Fluids 1 Communications in Statistics. Simulation and Computation 1 Communications in Statistics. Theory and Methods 1 Revista Investigación Operacional 1 Applied Mathematics E-Notes 1 SpringerBriefs in Mathematics Cited in 4 Fields 4 Statistics (62-XX) 3 Probability theory and stochastic processes (60-XX) 2 Fluid mechanics (76-XX) 1 Numerical analysis (65-XX) Citations by Year