• BayesTree

  • Referenced in 59 articles [sw07995]
  • Tree Based Models: Implementation of BART: Bayesian Additive Regression Trees. We develop a Bayesian ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...
  • brms

  • Referenced in 21 articles [sw19099]
  • package brms. brms: Bayesian Regression Models using Stan. Fit Bayesian generalized (non-)linear multilevel models ... using Stan for full Bayesian inference. A wide range of distributions and link functions ... predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users...
  • bnpmr

  • Referenced in 19 articles [sw11018]
  • bnpmr: Bayesian monotonic nonparametric regression. Implements the Bayesian nonparametric monotonic regression method described in Bornkamp...
  • tgp

  • Referenced in 38 articles [sw07921]
  • Bayesian treed Gaussian process models. Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian ... model (LLM). Special cases also implemented include Bayesian linear models, CART, treed linear models, stationary...
  • GET

  • Referenced in 15 articles [sw35164]
  • bands (e.g. confidence band in polynomial regression, Bayesian posterior prediction). See Myllymäki and Mrkvička...
  • BGLR

  • Referenced in 10 articles [sw14008]
  • BGLR: Bayesian Generalized Linear Regression. The BGLR (‘Bayesian Generalized Linear Regression’) function fits various ... types of parametric and semi-parametric Bayesian regressions to continuos (censored or not), binary...
  • pi-MASS

  • Referenced in 16 articles [sw17249]
  • Bayesian variable selection regression for genome-wide association studies and other large-scale problems ... consider applying Bayesian Variable Selection Regression, or BVSR, to genome-wide association studies and similar...
  • rstanarm

  • Referenced in 19 articles [sw15609]
  • package rstanarm: Bayesian Applied Regression Modeling via Stan. Estimates pre-compiled regression models using ... interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary...
  • PReMiuM

  • Referenced in 10 articles [sw14746]
  • PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression. Bayesian clustering using a Dirichlet process mixture model...
  • bayesQR

  • Referenced in 8 articles [sw11009]
  • package bayesQR: Bayesian quantile regression. Bayesian quantile regression using the asymmetric Laplace distribution, both continuous...
  • DPpackage

  • Referenced in 66 articles [sw10495]
  • specification of the probability model. In the Bayesian context, this is accomplished by placing ... probability distributions or the space of all regression functions. Unfortunately, posterior distributions ranging over function ... programs for the implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently ... characteristic curve analysis, interval-censored data, binary regression data, item response data, longitudinal and clustered...
  • dlm

  • Referenced in 28 articles [sw04503]
  • inference. The basic elements of Bayesian analysis for linear regression models are reminded, and Markov ... much more elaborated one on Bayesian inference. The last chapter is on sequential Monte Carlo...
  • spTimer

  • Referenced in 15 articles [sw24237]
  • Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian...
  • bartMachine

  • Referenced in 9 articles [sw10962]
  • package bartMachine: Machine learning with Bayesian additive regression trees. We present a new package ... implementing Bayesian additive regression trees (BART). The package introduces many new features for data analysis...
  • glmmAK

  • Referenced in 25 articles [sw13218]
  • Poisson regression (log-linear model). Secondly, Bayesian estimation based on MCMC in the logistic...
  • bayesSurv

  • Referenced in 9 articles [sw13221]
  • bayesSurv: Bayesian Survival Regression with Flexible Error and Random Effects Distributions. Contains Bayesian implementations...
  • EMVS

  • Referenced in 30 articles [sw31733]
  • algorithm for fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George...
  • factorQR

  • Referenced in 5 articles [sw06063]
  • factorQR: Bayesian quantile regression factor models , Package to fit Bayesian quantile regression models that assume...
  • BART

  • Referenced in 4 articles [sw32161]
  • package BART: Bayesian Additive Regression Trees. Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling...
  • dbarts

  • Referenced in 4 articles [sw23499]
  • package dbarts: Discrete Bayesian Additive Regression Trees Sampler. Fits Bayesian additive regression trees (BART; Chipman...