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Boom  

Bayesian Object Oriented Modeling
View on CRAN: Click here


Download and install Boom package within the R console
Install from CRAN:
install.packages("Boom")

Install from Github:
library("remotes")
install_github("cran/Boom")

Install by package version:
library("remotes")
install_version("Boom", "0.9.15")



Attach the package and use:
library("Boom")
Maintained by
Steven L. Scott
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-06-21
Latest Update: 2024-02-03
Description:
A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
How to cite:
Steven L. Scott (2014). Boom: Bayesian Object Oriented Modeling. R package version 0.9.15, https://cran.r-project.org/web/packages/Boom. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2014-06-21 21:09), 0.2 (2014-12-03 09:51), 0.3 (2016-03-15 16:10), 0.4 (2016-05-21 15:42), 0.5 (2016-08-18 09:48), 0.6 (2017-04-08 00:13), 0.7 (2017-05-28 10:30), 0.8 (2018-04-29 23:52), 0.9.1 (2019-06-06 10:02), 0.9.2 (2019-09-03 23:00), 0.9.3 (2019-10-07 10:20), 0.9.4 (2020-03-30 14:20), 0.9.5 (2020-04-15 10:40), 0.9.6 (2020-04-30 15:10), 0.9.7 (2021-02-23 18:40), 0.9.8 (2022-05-26 16:10), 0.9.9 (2022-05-27 11:40), 0.9.10 (2022-05-28 01:50), 0.9.11 (2022-11-06 06:20), 0.9.12 (2023-12-13 18:20), 0.9.13 (2023-12-15 12:50), 0.9.14 (2023-12-18 10:50), 0.9 (2019-05-17 23:20)
Other packages that cited Boom R package
View Boom citation profile
Other R packages that Boom depends, imports, suggests or enhances
Complete documentation for Boom
Functions, R codes and Examples using the Boom R package
Some associated functions: Boom-package . MvnGivenSigmaMatrixPrior . ToString . add.segments . ar1.coefficient.prior . beta.prior . boxplot.mcmc.matrix . boxplot.true . check.data . check . circles . compare.den . compare.dynamic.distributions . compare.many.densities . compare.many.ts . compare.vector.distributions . diff.double.model . dirichlet-distribution . dirichlet.prior . discrete-uniform-prior . dmvn . double.model . external.legend . gamma.prior . generate_factor_data . histabunch . inverse-wishart . invgamma . is.even . lmgamma . log.integrated.gaussian.likelihood . lognormal.prior . markov.prior . match_data_frame . mscan . mvn.diagonal.prior . mvn.independent.sigma.prior . mvn.prior . normal.inverse.gamma.prior . normal.inverse.wishart.prior . normal.prior . pairs.density . plot.density.contours . plot.dynamic.distribution . plot.macf . plot.many.ts . regression.coefficient.conjugate.prior . replist . rmvn . rvectorfunction . scaled.matrix.normal.prior . sd.prior . sufstat . suggest.burn.log.likelihood . thin.matrix . thin . timeseries.boxplot . traceproduct . uniform.prior . wishart . 
Some associated R codes: add.segments.R . boxplot.mcmc.matrix.R . boxplot.true.R . check.data.R . check.mcmc.matrix.R . circle.R . compare.den.R . compare.dynamic.distributions.R . compare.many.densities.R . compare.many.ts.R . compare.vector.distribution.R . dirichlet.R . dmvn.R . external.legend.R . format.R . function.R . generate_factor_data.R . histabunch.R . inverse.wishart.R . invgamma.R . is.even.R . lmgamma.R . log.integrated.gaussian.likelihood.R . match_data_frame.R . mscan.R . pairs.density.R . plot.dynamic.distribution.R . plot.macf.R . plot.many.ts.R . prior_specification.R . replist.R . rmvn.R . sufstats.R . suggest_burn_log_likelihood.R . thin.R . thin.matrix.R . timeseries.boxplot.R .  Full Boom package functions and examples
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