Man pages for LaplacesDemonR/LaplacesDemon
Complete Environment for Bayesian Inference
| ABB | Approximate Bayesian Bootstrap |
| AcceptanceRate | Acceptance Rate |
| as.covar | Proposal Covariance |
| as.initial.values | Initial Values |
| as.parm.names | Parameter Names |
| as.ppc | As Posterior Predictive Check |
| BayesFactor | Bayes Factor |
| BayesianBootstrap | The Bayesian Bootstrap |
| BayesTheorem | Bayes' Theorem |
| BigData | Big Data |
| Blocks | Blocks |
| BMK.Diagnostic | BMK Convergence Diagnostic |
| burnin | Burn-in |
| caterpillar.plot | Caterpillar Plot |
| CenterScale | Centering and Scaling |
| Combine | Combine Demonoid Objects |
| cond.plot | Conditional Plots |
| Consort | Consort with Laplace's Demon |
| CSF | Cumulative Sample Function |
| data.demonchoice | Demon Choice Data Set |
| data.demonfx | Demon FX Data Set |
| data.demonsessions | Demon Sessions Data Set |
| data.demonsnacks | Demon Snacks Data Set |
| data.demontexas | Demon Space-Time Data Set |
| deburn | De-Burn |
| de.Finetti.Game | de Finetti's Game |
| dist.Asymmetric.Laplace | Asymmetric Laplace Distribution: Univariate |
| dist.Asymmetric.Log.Laplace | Asymmetric Log-Laplace Distribution |
| dist.Asymmetric.Multivariate.Laplace | Asymmetric Multivariate Laplace Distribution |
| dist.Bernoulli | Bernoulli Distribution |
| dist.Categorical | Categorical Distribution |
| dist.ContinuousRelaxation | Continuous Relaxation of a Markov Random Field Distribution |
| dist.Dirichlet | Dirichlet Distribution |
| dist.Generalized.Pareto | Generalized Pareto Distribution |
| dist.Generalized.Poisson | Generalized Poisson Distribution |
| dist.HalfCauchy | Half-Cauchy Distribution |
| dist.HalfNorm | Half-Normal Distribution |
| dist.Halft | Half-t Distribution |
| dist.Horseshoe | Horseshoe Distribution |
| dist.HuangWand | Huang-Wand Distribution |
| dist.Inverse.Beta | Inverse Beta Distribution |
| dist.Inverse.ChiSquare | (Scaled) Inverse Chi-Squared Distribution |
| dist.Inverse.Gamma | Inverse Gamma Distribution |
| dist.Inverse.Gaussian | Inverse Gaussian Distribution |
| dist.Inverse.Matrix.Gamma | Inverse Matrix Gamma Distribution |
| dist.Inverse.Wishart | Inverse Wishart Distribution |
| dist.Inverse.Wishart.Cholesky | Inverse Wishart Distribution: Cholesky Parameterization |
| dist.Laplace | Laplace Distribution: Univariate Symmetric |
| dist.Laplace.Mixture | Mixture of Laplace Distributions |
| dist.Laplace.Precision | Laplace Distribution: Precision Parameterization |
| dist.LASSO | LASSO Distribution |
| dist.Log.Laplace | Log-Laplace Distribution: Univariate Symmetric |
| dist.Log.Normal.Precision | Log-Normal Distribution: Precision Parameterization |
| dist.Matrix.Gamma | Matrix Gamma Distribution |
| dist.Matrix.Normal | Matrix Normal Distribution |
| dist.Multivariate.Cauchy | Multivariate Cauchy Distribution |
| dist.Multivariate.Cauchy.Cholesky | Multivariate Cauchy Distribution: Cholesky Parameterization |
| dist.Multivariate.Cauchy.Precision | Multivariate Cauchy Distribution: Precision Parameterization |
| dist.Multivariate.Cauchy.Precision.Cholesky | Multivariate Cauchy Distribution: Precision-Cholesky... |
| dist.Multivariate.Laplace | Multivariate Laplace Distribution |
| dist.Multivariate.Laplace.Cholesky | Multivariate Laplace Distribution: Cholesky Parameterization |
| dist.Multivariate.Normal | Multivariate Normal Distribution |
| dist.Multivariate.Normal.Cholesky | Multivariate Normal Distribution: Cholesky Parameterization |
| dist.Multivariate.Normal.Precision | Multivariate Normal Distribution: Precision Parameterization |
| dist.Multivariate.Normal.Precision.Cholesky | Multivariate Normal Distribution: Precision-Cholesky... |
| dist.Multivariate.Polya | Multivariate Polya Distribution |
| dist.Multivariate.Power.Exponential | Multivariate Power Exponential Distribution |
| dist.Multivariate.Power.Exponential.Cholesky | Multivariate Power Exponential Distribution: Cholesky... |
| dist.Multivariate.t | Multivariate t Distribution |
| dist.Multivariate.t.Cholesky | Multivariate t Distribution: Cholesky Parameterization |
| dist.Multivariate.t.Precision | Multivariate t Distribution: Precision Parameterization |
| dist.Multivariate.t.Precision.Cholesky | Multivariate t Distribution: Precision-Cholesky... |
| dist.Normal.Inverse.Wishart | Normal-Inverse-Wishart Distribution |
| dist.Normal.Laplace | Normal-Laplace Distribution: Univariate Asymmetric |
| dist.Normal.Mixture | Mixture of Normal Distributions |
| dist.Normal.Precision | Normal Distribution: Precision Parameterization |
| dist.Normal.Variance | Normal Distribution: Variance Parameterization |
| dist.Normal.Wishart | Normal-Wishart Distribution |
| dist.Pareto | Pareto Distribution |
| dist.Power.Exponential | Power Exponential Distribution: Univariate Symmetric |
| dist.Scaled.Inverse.Wishart | Scaled Inverse Wishart Distribution |
| dist.Skew.Discrete.Laplace | Skew Discrete Laplace Distribution: Univariate |
| dist.Skew.Laplace | Skew-Laplace Distribution: Univariate |
| dist.Stick | Truncated Stick-Breaking Prior Distribution |
| dist.Student.t | Student t Distribution: Univariate |
| dist.Student.t.Precision | Student t Distribution: Precision Parameterization |
| dist.Truncated | Truncated Distributions |
| dist.Wishart | Wishart Distribution |
| dist.Wishart.Cholesky | Wishart Distribution: Cholesky Parameterization |
| dist.YangBerger | Yang-Berger Distribution |
| dist.Zellner | Hyperprior-g Prior and Zellner's g-Prior |
| Elicitation | Prior Elicitation |
| ESS | Effective Sample Size due to Autocorrelation |
| Gelfand.Diagnostic | Gelfand's Convergence Diagnostic |
| Gelman.Diagnostic | Gelman and Rubin's MCMC Convergence Diagnostic |
| Geweke.Diagnostic | Geweke's Convergence Diagnostic |
| GIV | Generate Initial Values |
| Hangartner.Diagnostic | Hangartner's Convergence Diagnostic |
| Heidelberger.Diagnostic | Heidelberger and Welch's MCMC Convergence Diagnostic |
| hpc_server | Server Listening |
| IAT | Integrated Autocorrelation Time |
| Importance | Variable Importance |
| interval | Constrain to Interval |
| is.appeased | Appeased |
| is.bayesian | Logical Check of a Bayesian Model |
| is.class | Logical Check of Classes |
| is.constant | Logical Check of a Constant |
| is.constrained | Logical Check of Constraints |
| is.data | Logical Check of Data |
| is.model | Logical Check of a Model |
| is.proper | Logical Check of Propriety |
| is.stationary | Logical Check of Stationarity |
| IterativeQuadrature | Iterative Quadrature |
| joint.density.plot | Joint Density Plot |
| joint.pr.plot | Joint Probability Region Plot |
| Juxtapose | Juxtapose MCMC Algorithm Inefficiency |
| KLD | Kullback-Leibler Divergence (KLD) |
| KS.Diagnostic | Kolmogorov-Smirnov Convergence Diagnostic |
| LaplaceApproximation | Laplace Approximation |
| LaplacesDemon | Laplace's Demon |
| LaplacesDemon-package | Complete Environment for Bayesian Inference |
| LaplacesDemon.RAM | LaplacesDemon RAM Estimate |
| Levene.Test | Levene's Test |
| LML | Logarithm of the Marginal Likelihood |
| logit | The logit and inverse-logit functions |
| log-log | The log-log and complementary log-log functions |
| LossMatrix | Loss Matrix |
| LPL.interval | Lowest Posterior Loss Interval |
| Math | Math Utility Functions |
| Matrices | Matrix Utility Functions |
| MCSE | Monte Carlo Standard Error |
| MinnesotaPrior | Minnesota Prior |
| MISS | Multiple Imputation Sequential Sampling |
| Mode | The Mode(s) of a Vector |
| Model.Spec.Time | Model Specification Time |
| p.interval | Probability Interval |
| plot.bmk | Plot Hellinger Distances |
| plot.demonoid | Plot samples from the output of Laplace's Demon |
| plot.demonoid.ppc | Plots of Posterior Predictive Checks |
| plot.importance | Plot Variable Importance |
| plot.iterquad | Plot the output of 'IterativeQuadrature' |
| plot.iterquad.ppc | Plots of Posterior Predictive Checks |
| plot.juxtapose | Plot MCMC Juxtaposition |
| plot.laplace | Plot the output of 'LaplaceApproximation' |
| plot.laplace.ppc | Plots of Posterior Predictive Checks |
| plotMatrix | Plot a Numerical Matrix |
| plot.miss | Plot samples from the output of MISS |
| plot.pmc | Plot samples from the output of PMC |
| plot.pmc.ppc | Plots of Posterior Predictive Checks |
| plotSamples | Plot Samples |
| plot.vb | Plot the output of 'VariationalBayes' |
| plot.vb.ppc | Plots of Posterior Predictive Checks |
| PMC | Population Monte Carlo |
| PMC.RAM | PMC RAM Estimate |
| PosteriorChecks | Posterior Checks |
| Precision | Precision |
| predict.demonoid | Posterior Predictive Checks |
| predict.iterquad | Posterior Predictive Checks |
| predict.laplace | Posterior Predictive Checks |
| predict.pmc | Posterior Predictive Checks |
| predict.vb | Posterior Predictive Checks |
| print.demonoid | Print an object of class 'demonoid' to the screen. |
| print.heidelberger | Print an object of class 'heidelberger' to the screen. |
| print.iterquad | Print an object of class 'iterquad' to the screen. |
| print.laplace | Print an object of class 'laplace' to the screen. |
| print.miss | Print an object of class 'miss' to the screen. |
| print.pmc | Print an object of class 'pmc' to the screen. |
| print.raftery | Print an object of class 'raftery' to the screen. |
| print.vb | Print an object of class 'vb' to the screen. |
| Raftery.Diagnostic | Raftery and Lewis's diagnostic |
| RejectionSampling | Rejection Sampling |
| SensitivityAnalysis | Sensitivity Analysis |
| SIR | Sampling Importance Resampling |
| Stick | Truncated Stick-Breaking |
| summary.demonoid.ppc | Posterior Predictive Check Summary |
| summary.iterquad.ppc | Posterior Predictive Check Summary |
| summary.laplace.ppc | Posterior Predictive Check Summary |
| summary.miss | MISS Summary |
| summary.pmc.ppc | Posterior Predictive Check Summary |
| summary.vb.ppc | Posterior Predictive Check Summary |
| Thin | Thin |
| Validate | Holdout Validation |
| VariationalBayes | Variational Bayes |
| WAIC | Widely Applicable Information Criterion |
