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R-BayesDA
Functions and datasets for Bayesian Data Analysis (2nd ed.)
Version: 2012.04-1 | Maintained by: | Categories: science math R | Variants:R-bayesDccGarch
Methods and tools for Bayesian analysis of DCC-GARCH(1,1) model
Version: 3.0.4 | Maintained by: | Categories: science math R | Variants:R-BayesDesign
Bayesian single-arm design with survival endpoints
Version: 0.1.1 | Maintained by: | Categories: science math R | Variants:R-bayesdfa
Bayesian Dynamic Factor Analysis (DFA) with Stan
Version: 1.3.3 | Maintained by: barracuda156 | Categories: science math R | Variants:R-BayesESS
Determines effective sample size of a parametric prior distribution in Bayesian models
Version: 0.1.19 | Maintained by: barracuda156 | Categories: science math R | Variants:R-BayesFactor
Computation of Bayes factors for common designs
Version: 0.9.12-4.7 | Maintained by: barracuda156 | Categories: science math R | Variants:R-bayesforecast
Bayesian time series modeling with Stan
Version: 1.0.1 | Maintained by: barracuda156 | Categories: science math R | Variants:R-bayesGAM
Multivariate response generalized additive models using Hamiltonian Monte Carlo
Version: 0.0.2 | Maintained by: barracuda156 | Categories: science math R | Variants:R-bayesGARCH
Bayesian estimation of the GARCH(1,1) model with Student-t innovations
Version: 2.1.10 | Maintained by: barracuda156 | Categories: science math R | Variants:R-BayesGOF
Bayesian modeling via frequentist goodness-of-fit
Version: 5.2 | Maintained by: barracuda156 | Categories: science math R | Variants:R-BayesianNetwork
Bayesian network modelling and analysis
Version: 0.3 | Maintained by: barracuda156 | Categories: science math R | Variants:R-BayesianTools
General-purpose MCMC and SMC samplers and tools for Bayesian statistics
Version: 0.1.8 | Maintained by: barracuda156 | Categories: science math R | Variants:R-Bayesiantreg
Bayesian t regression for modelling mean and scale parameters
Version: 1.0.1 | Maintained by: barracuda156 | Categories: science math R | Variants:R-bayesianVARs
MCMC estimation of Bayesian vector autoregressions
Version: 0.1.2 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortranR-BayesKnockdown
Posterior probabilities for edges from knockdown data
Version: 1.30.0 | Maintained by: | Categories: science R bioconductor | Variants:R-bayeslincom
Linear combinations of Bayesian posterior samples
Version: 1.3.0 | Maintained by: | Categories: science math R | Variants:R-BayesLN
Bayesian inference for log-normal data
Version: 0.2.10 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortranR-BayesLogit
PolyaGamma sampling
Version: 2.1 | Maintained by: | Categories: science math R | Variants:R-bayesm
Bayesian inference for marketing and micro-econometrics
Version: 3.1-6 | Maintained by: barracuda156 | Categories: science R economics | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortranR-BayesMallows
Bayesian preference learning with the Mallows rank model
Version: 2.2.1 | Maintained by: barracuda156 | Categories: science math R | Variants: clang10, clang11, clang12, clang13, clang14, clang15, clang16, clang50, clang60, clang70, clang80, clang90, clangdevel, g95, gcc10, gcc11, gcc12, gcc13, gccdevel, gfortran4,906 port(s) found
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