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 |
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