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LaplacesDemon
Complete Environment for Bayesian Inference
View on CRAN: Click
here
Download and install LaplacesDemon package within the R console
Install from CRAN:
install.packages("LaplacesDemon")
Install from Github:
library("remotes")
install_github("cran/LaplacesDemon") Install by package version:
library("remotes")
install_version("LaplacesDemon", "16.1.6") Attach the package and use:
library("LaplacesDemon")
Maintained by
Henrik Singmann
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-03
Latest Update: 2021-07-09
Description:
Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview).
How to cite:
Henrik Singmann (2011). LaplacesDemon: Complete Environment for Bayesian Inference. R package version 16.1.6, https://cran.r-project.org/web/packages/LaplacesDemon. Accessed 02 Sep. 2026.
Previous versions and publish date:
10.12.30 (2011-01-03 13:28), 11.01.05 (2011-01-06 11:06), 11.01.07 (2011-01-08 09:30), 11.01.08 (2011-01-09 09:44), 11.01.13 (2011-01-14 12:59), 11.01.18 (2011-01-19 13:09), 11.01.23 (2011-01-24 10:58), 11.01.27 (2011-01-28 08:21), 11.02.01 (2011-02-01 08:48), 11.02.07 (2011-02-07 10:50), 11.02.14 (2011-02-14 17:38), 11.02.21 (2011-02-22 09:08), 11.03.01 (2011-02-28 12:46), 11.03.06 (2011-03-07 06:40), 11.03.14 (2011-03-14 09:31), 11.03.20 (2011-03-21 07:46), 11.03.27 (2011-03-28 11:46), 11.04.04 (2011-04-04 09:36), 11.04.10 (2011-04-11 08:35), 11.06.05 (2011-06-07 08:35), 11.06.13 (2011-06-15 19:50), 11.06.27 (2011-06-27 09:00), 11.07.05 (2011-07-05 10:43), 11.07.15 (2011-07-23 15:02), 11.07.27 (2011-07-26 15:46), 11.08.08 (2011-08-08 07:41), 11.08.15 (2011-08-15 17:24), 11.08.22 (2011-08-22 07:13), 11.09.05 (2011-09-05 21:37), 11.09.12 (2011-09-12 08:23), 11.09.19 (2011-09-19 08:03), 11.09.26 (2011-09-26 15:14), 11.10.03 (2011-10-03 16:59), 11.11.03 (2011-11-03 13:32), 11.12.05 (2011-12-05 08:54), 12.01.02 (2012-01-02 19:36), 12.03.05 (2012-03-05 15:24), 12.04.02 (2012-04-02 19:47), 12.05.07 (2012-05-08 06:06), 12.06.04 (2012-06-04 19:18), 12.07.02 (2012-07-02 17:54), 12.08.06 (2012-08-06 08:16), 12.09.03 (2012-09-03 20:39), 12.10.01 (2012-10-01 07:51), 12.11.05 (2012-11-05 13:14), 12.12.03 (2012-12-03 08:29), 13.01.07 (2013-01-08 08:17), 13.02.04 (2013-02-04 14:34), 13.03.04 (2013-03-04 20:36), 16.0.1 (2016-07-17 18:25), 16.1.0 (2017-12-19 09:34), 16.1.1 (2020-02-03 09:36), 16.1.4 (2020-02-06 10:40), 16.1.6 (2021-07-09 16:00), (2026-07-09 08:08)
Other packages that cited LaplacesDemon R package
View LaplacesDemon citation profile
Other R packages that LaplacesDemon depends,
imports, suggests or enhances
Complete documentation for LaplacesDemon
Functions, R codes and Examples using
the LaplacesDemon R package
Some associated functions: ABB . AcceptanceRate . BMK.Diagnostic . BayesFactor . BayesTheorem . BayesianBootstrap . BigData . Blocks . CSF . CenterScale . Combine . Consort . ESS . Elicitation . GIV . Gelfand.Diagnostic . Gelman.Diagnostic . Geweke.Diagnostic . Hangartner.Diagnostic . Heidelberger.Diagnostic . IAT . Importance . IterativeQuadrature . Juxtapose . KLD . KS.Diagnostic . LML . LPL.interval . LaplaceApproximation . LaplacesDemon-package . LaplacesDemon.RAM . LaplacesDemon . Levene.Test . LossMatrix . MCSE . MISS . Math . Matrices . MinnesotaPrior . Mode . Model.Spec.Time . PMC.RAM . PMC . PosteriorChecks . Precision . Raftery.Diagnostic . RejectionSampling . SIR . SensitivityAnalysis . Stick . Thin . Validate . VariationalBayes . WAIC . as.covar . as.initial.values . as.parm.names . as.ppc . burnin . caterpillar.plot . cond.plot . data.demonchoice . data.demonfx . data.demonsessions . data.demonsnacks . data.demontexas . de.Finetti.Game . deburn . dist.Asymmetric.Laplace . dist.Asymmetric.Log.Laplace . dist.Asymmetric.Multivariate.Laplace . dist.Bernoulli . dist.Categorical . dist.ContinuousRelaxation . dist.Dirichlet . dist.Generalized.Pareto . dist.Generalized.Poisson . dist.HalfCauchy . dist.HalfNorm . dist.Halft . dist.Horseshoe . dist.HuangWand . dist.Inverse.Beta . dist.Inverse.ChiSquare . dist.Inverse.Gamma . dist.Inverse.Gaussian . dist.Inverse.Matrix.Gamma . dist.Inverse.Wishart.Cholesky . dist.Inverse.Wishart . dist.LASSO . dist.Laplace.Mixture . dist.Laplace.Precision . dist.Laplace . dist.Log.Laplace . dist.Log.Normal.Precision . dist.Matrix.Gamma . dist.Matrix.Normal . dist.Multivariate.Cauchy.Cholesky . dist.Multivariate.Cauchy.Precision.Cholesky . dist.Multivariate.Cauchy.Precision . dist.Multivariate.Cauchy . dist.Multivariate.Laplace.Cholesky . dist.Multivariate.Laplace . dist.Multivariate.Normal.Cholesky . dist.Multivariate.Normal.Precision.Cholesky . dist.Multivariate.Normal.Precision . dist.Multivariate.Normal . dist.Multivariate.Polya . dist.Multivariate.Power.Exponential.Cholesky . dist.Multivariate.Power.Exponential . dist.Multivariate.t.Cholesky . dist.Multivariate.t.Precision.Cholesky . dist.Multivariate.t.Precision . dist.Multivariate.t . dist.Normal.Inverse.Wishart . dist.Normal.Laplace . dist.Normal.Mixture . dist.Normal.Precision . dist.Normal.Variance . dist.Normal.Wishart . dist.Pareto . dist.Power.Exponential . dist.Scaled.Inverse.Wishart . dist.Skew.Discrete.Laplace . dist.Skew.Laplace . dist.Stick . dist.Student.t.Precision . dist.Student.t . dist.Truncated . dist.Wishart.Cholesky . dist.Wishart . dist.YangBerger . dist.Zellner . hpc_server . interval . is.appeased . is.bayesian . is.class . is.constant . is.constrained . is.data . is.model . is.proper . is.stationary . joint.density.plot . joint.pr.plot . log-log . logit . p.interval . plot.bmk . plot.demonoid . plot.demonoid.ppc . plot.importance . plot.iterquad . plot.iterquad.ppc . plot.juxtapose . plot.laplace . plot.laplace.ppc . plot.miss . plot.pmc . plot.pmc.ppc . plot.vb . plot.vb.ppc . plotMatrix . plotSamples . predict.demonoid . predict.iterquad . predict.laplace . predict.pmc . predict.vb . print.demonoid . print.heidelberger . print.iterquad . print.laplace . print.miss . print.pmc . print.raftery . print.vb . summary.demonoid.ppc . summary.iterquad.ppc . summary.laplace.ppc . summary.miss . summary.pmc.ppc . summary.vb.ppc .
Some associated R codes: ABB.R . AcceptanceRate.R . BMK.Diagnostic.R . BayesFactor.R . BayesTheorem.R . BayesianBootstrap.R . BigData.R . Blocks.R . CSF.R . CenterScale.R . Combine.R . Consort.R . ESS.R . Elicitation.R . GIV.R . Gelfand.Diagnostic.R . Gelman.Diagnostic.R . Geweke.Diagnostic.R . Hangartner.Diagnostic.R . Heidelberger.Diagnostic.R . IAT.R . Importance.R . IterativeQuadrature.R . Juxtapose.R . KLD.R . KS.Diagnostic.R . LML.R . LPL.interval.R . LaplaceApproximation.R . LaplacesDemon.R . LaplacesDemon.RAM.R . LaplacesDemon.hpc.R . Levene.Test.R . LossMatrix.R . MCSE.R . MISS.R . Math.R . Matrices.R . MinnesotaPrior.R . Mode.R . Model.Spec.Time.R . PMC.R . PMC.RAM.R . PosteriorChecks.R . Precision.R . Raftery.Diagnostic.R . RejectionSampling.R . SIR.R . SensitivityAnalysis.R . Stick.R . Thin.R . Validate.R . VariationalBayes.R . WAIC.R . as.covar.R . as.initial.values.R . as.parm.names.R . as.ppc.R . burnin.R . caterpillar.plot.R . cond.plot.R . de.Finetti.Game.R . deburn.R . distributions.R . hpc_server.R . interval.R . is.appeased.R . is.bayesian.R . is.class.R . is.constant.R . is.constrained.R . is.data.R . is.model.R . is.proper.R . is.stationary.R . joint.density.plot.R . joint.pr.plot.R . log-log.R . logit.R . p.interval.R . plot.bmk.R . plot.demonoid.R . plot.demonoid.hpc.R . plot.demonoid.ppc.R . plot.importance.R . plot.iterquad.R . plot.iterquad.ppc.R . plot.juxtapose.R . plot.laplace.R . plot.laplace.ppc.R . plot.miss.R . plot.pmc.R . plot.pmc.ppc.R . plot.vb.R . plot.vb.ppc.R . plotMatrix.R . plotSamples.R . predict.demonoid.R . predict.iterquad.R . predict.laplace.R . predict.pmc.R . predict.vb.R . print.demonoid.R . print.heidelberger.R . print.iterquad.R . print.laplace.R . print.miss.R . print.pmc.R . print.raftery.R . print.vb.R . summary.demonoid.ppc.R . summary.iterquad.ppc.R . summary.laplace.ppc.R . summary.miss.R . summary.pmc.ppc.R . summary.vb.ppc.R . Full LaplacesDemon package functions and examples
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