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"description": "Multistate Life Table (MSLT) methodology based on Bayesian approach"
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"name": "R-BayesMultiMode",
"description": "Bayesian mode inference"
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"name": "R-bayesnec",
"description": "Bayesian No-Effect-Concentration (NEC) algorithm"
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"description": "Bayesian Network Belief Propagation"
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"description": "Bayes factor playground"
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"name": "R-bayesplot",
"description": "Plotting for Bayesian Models"
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"name": "R-bayespm",
"description": "Bayesian Statistical Process Monitoring"
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"name": "R-bayesPO",
"description": "Bayesian inference for presence-only data"
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"name": "R-BayesPPD",
"description": "Bayesian Power Prior Design"
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"name": "R-BayesPPDSurv",
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"name": "R-BayesProject",
"description": "Fast projection direction for multivariate changepoint detection"
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"name": "R-bayesQR",
"description": "Bayesian Quantile Regression"
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"name": "R-BayesQVGEL",
"description": "Bayesian quantile variable selection for G–E in longitudinal studies"
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"name": "R-bayesRecon",
"description": "Provides methods for probabilistic reconciliation of hierarchical forecasts of time series"
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"name": "R-bayesreg",
"description": "Bayesian regression models with global-local shrinkage priors"
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"name": "R-Bayesrel",
"description": "Bayesian reliability estimation"
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"name": "R-BayesRep",
"description": "Bayesian analysis of replication studies"
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"name": "R-BayesReversePLLH",
"description": "Fit Bayesian piece-wise linear log-hazard model"
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"name": "R-BayesRGMM",
"description": "Bayesian Robust Generalized Mixed Models for longitudinal data"
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"description": "Bayesian Regions of Evidence"
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"description": "Bayes factors for hierarchical linear models with continuous predictors"
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"description": "Bayesian Essentials with R"
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"description": "Different models of posterior distributions of adjusted odds ratio"
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"description": "Bayesian Seemingly Unrelated Regression"
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"name": "R-bayest",
"description": "Effect size targeted Bayesian two-sample t-tests via Markov chain Monte Carlo in Gaussian mixture models"
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{
"name": "R-bayestestR",
"description": "Understand and describe Bayesian models and posterior distributions"
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{
"name": "R-BayesTools",
"description": "Tools for Bayesian Analyses"
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{
"name": "R-BayesTree",
"description": "Bayesian additive regression trees"
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"name": "R-BayesVarSel",
"description": "Bayes factors, model choice and variable selection in linear models"
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"name": "R-bayesvl",
"description": "Visually learning the graphical structure of Bayesian networks and performing MCMC with Stan"
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"name": "R-bayesWatch",
"description": "Bayesian change-point detection for process monitoring with fault detection"
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"name": "R-BayesX",
"description": "R utilities accompanying the software package BayesX"
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"name": "R-BayesXsrc",
"description": "Distribution of the BayesX C++ sources"
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{
"name": "R-bayesZIB",
"description": "Bayesian zero-inflated Bernoulli regression model"
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"name": "R-baygel",
"description": "Bayesian estimators for Gaussian graphical models"
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"name": "R-BB",
"description": "Solving and optimizing large-scale non-linear systems"
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"name": "R-BBcor",
"description": "Bayesian bootstrapping correlations"
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{
"name": "R-bbl",
"description": "Boltzmann Bayes Learner"
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"name": "R-BBmisc",
"description": "Miscellaneous helper functions"
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{
"name": "R-bbmle",
"description": "Tools for general maximum likelihood estimation"
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{
"name": "R-bbnet",
"description": "Create simple predictive models on Bayesian Belief Networks"
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{
"name": "R-bbotk",
"description": "Black-Box Optimization Toolkit"
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{
"name": "R-bbreg",
"description": "Bessel and Beta regressions"
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{
"name": "R-BBSSL",
"description": "Bayesian bootstrap spike-and-slab lassO"
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"name": "R-BCA1SG",
"description": "Block coordinate ascent with one-step generalized Rosen algorithm"
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"name": "R-BCDAG",
"description": "Bayesian structure and causal learning of Gaussian directed graphs"
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{
"name": "R-BCEE",
"description": "Bayesian causal effect estimation algorithm"
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