Kullback-Leibler Divergence (KLD)
Minnesota Prior
Kolmogorov-Smirnov Convergence Diagnostic
The Mode(s) of a Vector
Logarithm of the Marginal Likelihood
Consort with Laplace's Demon
Integrated Autocorrelation Time
Thin
dist.ContinuousRelaxation
Continuous Relaxation of a Markov Random Field Distribution
Iterative Quadrature
Holdout Validation
Juxtapose MCMC Algorithm Inefficiency
Categorical Distribution
Asymmetric Laplace Distribution: Univariate
dist.Asymmetric.Log.Laplace
Asymmetric Log-Laplace Distribution
Laplace's Demon
Variable Importance
LaplacesDemon RAM Estimate
Raftery and Lewis's diagnostic
Precision
Sensitivity Analysis
Burn-in
Levene's Test
Lowest Posterior Loss Interval
Population Monte Carlo
Loss Matrix
Truncated Stick-Breaking
de Finetti's Game
Parameter Names
Posterior Checks
De-Burn
Laplace Approximation
Monte Carlo Standard Error
Inverse Gaussian Distribution
Caterpillar Plot
Demon Snacks Data Set
Dirichlet Distribution
Multiple Imputation Sequential Sampling
Inverse Gamma Distribution
As Posterior Predictive Check
Generalized Poisson Distribution
dist.Multivariate.Cauchy.Precision.Cholesky
Multivariate Cauchy Distribution: Precision-Cholesky Parameterization
dist.Multivariate.Cauchy.Precision
Multivariate Cauchy Distribution: Precision Parameterization
LaplacesDemon
Math Utility Functions
Rejection Sampling
Demon Space-Time Data Set
Matrix Utility Functions
Generalized Pareto Distribution
Sampling Importance Resampling
Proposal Covariance
Half-Normal Distribution
Inverse Beta Distribution
Initial Values
Multivariate Normal Distribution
Half-Cauchy Distribution
Half-t Distribution
Model Specification Time
Horseshoe Distribution
Matrix Normal Distribution
Demon FX Data Set
dist.Multivariate.Cauchy.Cholesky
Multivariate Cauchy Distribution: Cholesky Parameterization
Demon Sessions Data Set
Huang-Wand Distribution
(Scaled) Inverse Chi-Squared Distribution
Laplace Distribution: Univariate Symmetric
dist.Multivariate.t.Precision
Multivariate t Distribution: Precision Parameterization
Multivariate Polya Distribution
PMC RAM Estimate
Normal Distribution: Variance Parameterization
dist.Asymmetric.Multivariate.Laplace
Asymmetric Multivariate Laplace Distribution
Multivariate t Distribution
Variational Bayes
dist.Log.Normal.Precision
Log-Normal Distribution: Precision Parameterization
Widely Applicable Information Criterion
Conditional Plots
Demon Choice Data Set
Inverse Wishart Distribution
Log-Laplace Distribution: Univariate Symmetric
Pareto Distribution
Normal-Wishart Distribution
Bernoulli Distribution
Hyperprior-g Prior and Zellner's g-Prior
Server Listening
Power Exponential Distribution: Univariate Symmetric
dist.Inverse.Wishart.Cholesky
Inverse Wishart Distribution: Cholesky Parameterization
dist.Inverse.Matrix.Gamma
Inverse Matrix Gamma Distribution
Logical Check of Propriety
Mixture of Laplace Distributions
Truncated Distributions
Matrix Gamma Distribution
LASSO Distribution
dist.Multivariate.Normal.Precision.Cholesky
Multivariate Normal Distribution: Precision-Cholesky Parameterization
Logical Check of Stationarity
dist.Multivariate.Laplace
Multivariate Laplace Distribution
Wishart Distribution: Cholesky Parameterization
dist.Multivariate.Power.Exponential.Cholesky
Multivariate Power Exponential Distribution: Cholesky Parameterization
Laplace Distribution: Precision Parameterization
dist.Multivariate.Normal.Cholesky
Multivariate Normal Distribution: Cholesky Parameterization
dist.Multivariate.t.Cholesky
Multivariate t Distribution: Cholesky Parameterization
dist.Multivariate.t.Precision.Cholesky
Multivariate t Distribution: Precision-Cholesky Parameterization
Constrain to Interval
dist.Multivariate.Normal.Precision
Multivariate Normal Distribution: Precision Parameterization
Plot samples from the output of PMC
Multivariate Cauchy Distribution
Plot samples from the output of MISS
Appeased
Student t Distribution: Precision Parameterization
Logical Check of Data
Logical Check of a Model
Student t Distribution: Univariate
Plot samples from the output of Laplace's Demon
Plot Samples
Plots of Posterior Predictive Checks
Posterior Predictive Checks
Logical Check of a Bayesian Model
Print an object of class raftery to the screen.
dist.Multivariate.Power.Exponential
Multivariate Power Exponential Distribution
Plot a Numerical Matrix
dist.Normal.Inverse.Wishart
Normal-Inverse-Wishart Distribution
Print an object of class vb to the screen.
Posterior Predictive Check Summary
MISS Summary
dist.Multivariate.Laplace.Cholesky
Multivariate Laplace Distribution: Cholesky Parameterization
Normal-Laplace Distribution: Univariate Asymmetric
Posterior Predictive Check Summary
Posterior Predictive Check Summary
Logical Check of Classes
dist.Scaled.Inverse.Wishart
Scaled Inverse Wishart Distribution
dist.Skew.Discrete.Laplace
Skew Discrete Laplace Distribution: Univariate
Mixture of Normal Distributions
Skew-Laplace Distribution: Univariate
Probability Interval
Normal Distribution: Precision Parameterization
Wishart Distribution
Truncated Stick-Breaking Prior Distribution
Yang-Berger Distribution
Plot Hellinger Distances
Plot MCMC Juxtaposition
Plots of Posterior Predictive Checks
Logical Check of a Constant
Logical Check of Constraints
Plots of Posterior Predictive Checks
Print an object of class iterquad to the screen.
Posterior Predictive Checks
The log-log and complementary log-log functions
Joint Density Plot
Print an object of class laplace to the screen.
Joint Probability Region Plot
Posterior Predictive Checks
The logit and inverse-logit functions
Plots of Posterior Predictive Checks
Plot Variable Importance
Posterior Predictive Checks
Posterior Predictive Check Summary
Posterior Predictive Checks
Posterior Predictive Check Summary
Plot the output of IterativeQuadrature Print an object of class demonoid to the screen.
Print an object of class heidelberger to the screen.
Plots of Posterior Predictive Checks
Plot the output of VariationalBayes Print an object of class miss to the screen.
Print an object of class pmc to the screen.
Bayes' Theorem
The Bayesian Bootstrap
BMK Convergence Diagnostic
Bayes Factor
Approximate Bayesian Bootstrap
Acceptance Rate
Effective Sample Size due to Autocorrelation
Prior Elicitation
Hangartner's Convergence Diagnostic
Cumulative Sample Function
Centering and Scaling
Big Data
Heidelberger and Welch's MCMC Convergence Diagnostic
Blocks
Combine Demonoid Objects
Generate Initial Values
Gelfand's Convergence Diagnostic
Gelman and Rubin's MCMC Convergence Diagnostic
Geweke's Convergence Diagnostic