Thread by @AchimZeileis

Volume 100 of @jstatsoft: Software for Bayesian Statistics

Guest editors: @micameletti & @precariobecario

20 contributions on a wide range of methods #rstats #python #bayesian #inla @mcmc_stan #nimble #brms #rjags

URL: jstatsoft.org/v100

Van Niekerk, Bakka, Rue, Schenk:

New Frontiers in Bayesian Modeling Using the INLA Package in R

#rstats #inla #bayesian

doi.org/10.18637/jss.v…

Michaud, De Valpine, Turek, Paciorek, Nguyen:

Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages

#rstats #bayesian #nimble

doi.org/10.18637/jss.v…

Umlauf, Klein, Simon, Zeileis:

bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)

#rstats #bayesian #gamlss #bamlss @ThorstenSimon7

doi.org/10.18637/jss.v…

Bürkner:

Bayesian Item Response Modeling in R with brms and Stan

#rstats #bayesian #itemresponsetheory @paulbuerkner @mcmc_stan

doi.org/10.18637/jss.v…

Merkle, Fitzsimmons, Uanhoro, Goodrich:

Efficient Bayesian Structural Equation Modeling in Stan

#blavaan #rstats #bayesian @edgarmerkle @mcmc_stan

doi.org/10.18637/jss.v…

Dutta, Schoengens, Pacchiardi, Ummadisingu, Widmer, Künzli, Onnela, Mira:

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation

#python #bayesian @ritabratadutta3 @LPacchiardi @ummavi @jponnela @MiraAntonietta

doi.org/10.18637/jss.v…

Mayrink, Duarte, Demarqui:

pexm: A JAGS Module for Applications Involving the Piecewise Exponential Distribution

#rstats #bayesian #rjags

doi.org/10.18637/jss.v…

Fasiolo, Wood, Zaffran, Nedellec, Goude:

qgam: Bayesian Nonparametric Quantile Regression Modeling in R

#rstats #bayesian #mgcv @fasiolo1985 @MargauxZaffran @YannigGoude

doi.org/10.18637/jss.v…

Bonner, Kim, Westneat, Mutzel, Wright, Schofield:

dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble

#rstats #bayesian #rjags

doi.org/10.18637/jss.v…

Zhao, Banterle, Bottolo, Richardson, Lewin, Zucknick:

BayesSUR: An R Package for High-Dimensional Multivariate Bayesian Variable and Covariance Selection in Linear Regression

#rstats #bayesian @marcobanterle @srichardson962 @ManuelaZucknick

doi.org/10.18637/jss.v…

Hosszejni, Kastner:

Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol

#rstats #bayesian #timeseries #volatility #stochvol

doi.org/10.18637/jss.v…

Knaus, Bitto-Nemling, Cadonna, Frühwirth-Schnatter:

Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP

#rstats #bayesian #timeseries

doi.org/10.18637/jss.v…

Kuschnig, Vashold:

BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R

#rstats #bayesian @_nkuschnig @_DNAudio

doi.org/10.18637/jss.v…

Corradin, Canale, Nipoti:

BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures

#rstats #bayesian @r_corradin @tonycanale_

doi.org/10.18637/jss.v…

Venturini, Piccarreta:

A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The dmbc Package in R

#rstats #bayesian #clustering @Sergio_V_2014 @raffina

doi.org/10.18637/jss.v…

Gronau, Raj K. N., Wagenmakers:

Informed Bayesian Inference for the A/B Test

#rstats #bayesian #abtest @EJWagenmakers

doi.org/10.18637/jss.v…

Mulder, Williams, Gu, Tomarken, Böing-Messing, Olsson-Collentine, Meijerink, Menke, van Aert, Fox, Hoijtink, Rosseel, Wagenmakers, Van Lissa:

BFpack: Flexible Bayes Factor Testing of Scientific Theories in R

#rstats #bayesian

doi.org/10.18637/jss.v…

Weber, Li, Seaman, Kakizume, Schmidli:

Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools

#rstats #bayesian

doi.org/10.18637/jss.v…

Erler, Rizopoulos, Lesaffre:

JointAI: Joint Analysis and Imputation of Incomplete Data in R

#rstats #bayesian #JointAI @N_Erler @drizopoulos

doi.org/10.18637/jss.v…

Eggleston, Ibrahim, McNeil, Catellier:

BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data

#rstats #bayesian #clinicaltrials @DianeCatellier

doi.org/10.18637/jss.v…