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"dallaplace", "pallaplace", "qallaplace", "rallaplace" ] }, { "page": "dist.Asymmetric.Multivariate.Laplace", "title": "Asymmetric Multivariate Laplace Distribution", "topics": [ "daml", "raml" ] }, { "page": "dist.Bernoulli", "title": "Bernoulli Distribution", "topics": [ "dbern", "pbern", "qbern", "rbern" ] }, { "page": "dist.Categorical", "title": "Categorical Distribution", "topics": [ "dcat", "qcat", "rcat" ] }, { "page": "dist.ContinuousRelaxation", "title": "Continuous Relaxation of a Markov Random Field Distribution", "topics": [ "dcrmrf", "rcrmrf" ] }, { "page": "dist.Dirichlet", "title": "Dirichlet Distribution", "topics": [ "ddirichlet", "rdirichlet" ] }, { "page": "dist.Generalized.Pareto", "title": "Generalized Pareto Distribution", "topics": [ "dgpd", "rgpd" ] }, { "page": "dist.Generalized.Poisson", "title": "Generalized Poisson Distribution", "topics": [ "dgpois" ] }, { "page": "dist.HalfCauchy", "title": "Half-Cauchy Distribution", "topics": [ "dhalfcauchy", "phalfcauchy", "qhalfcauchy", "rhalfcauchy" ] }, { "page": "dist.HalfNorm", "title": "Half-Normal Distribution", "topics": [ "dhalfnorm", "phalfnorm", "qhalfnorm", "rhalfnorm" ] }, { "page": "dist.Halft", "title": "Half-t Distribution", "topics": [ "dhalft", "phalft", "qhalft", "rhalft" ] }, { "page": "dist.Horseshoe", "title": "Horseshoe Distribution", "topics": [ "dhs", "rhs" ] }, { "page": "dist.HuangWand", "title": "Huang-Wand Distribution", "topics": [ "dhuangwand", "dhuangwandc", "rhuangwand", "rhuangwandc" ] }, { "page": "dist.Inverse.Beta", "title": "Inverse Beta Distribution", "topics": [ "dinvbeta", "rinvbeta" ] }, { "page": "dist.Inverse.ChiSquare", "title": "(Scaled) Inverse Chi-Squared Distribution", "topics": [ "dinvchisq", "rinvchisq" ] }, { "page": "dist.Inverse.Gamma", "title": "Inverse Gamma Distribution", "topics": [ "dinvgamma", "rinvgamma" ] }, { "page": "dist.Inverse.Gaussian", "title": "Inverse Gaussian Distribution", "topics": [ "dinvgaussian", "rinvgaussian" ] }, { "page": "dist.Inverse.Matrix.Gamma", "title": "Inverse Matrix Gamma Distribution", "topics": [ "dinvmatrixgamma" ] }, { "page": "dist.Inverse.Wishart", "title": "Inverse Wishart Distribution", "topics": [ "dinvwishart", "rinvwishart" ] }, { "page": "dist.Inverse.Wishart.Cholesky", "title": "Inverse Wishart Distribution: Cholesky Parameterization", "topics": [ "dinvwishartc", "rinvwishartc" ] }, { "page": "dist.Laplace", "title": "Laplace Distribution: Univariate Symmetric", "topics": [ "dlaplace", "plaplace", "qlaplace", "rlaplace" ] }, { "page": "dist.Laplace.Mixture", "title": "Mixture of Laplace Distributions", "topics": [ "dlaplacem", "plaplacem", "rlaplacem" ] }, { "page": "dist.Laplace.Precision", "title": "Laplace Distribution: Precision Parameterization", "topics": [ "dlaplacep", "plaplacep", "qlaplacep", "rlaplacep" ] }, { "page": "dist.LASSO", "title": "LASSO Distribution", "topics": [ "dlasso", "rlasso" ] }, { "page": "dist.Log.Laplace", "title": "Log-Laplace Distribution: Univariate Symmetric", "topics": [ "dllaplace", "pllaplace", "qllaplace", "rllaplace" ] }, { "page": "dist.Log.Normal.Precision", "title": "Log-Normal Distribution: Precision Parameterization", "topics": [ "dlnormp", "plnormp", "qlnormp", "rlnormp" ] }, { "page": "dist.Matrix.Gamma", "title": "Matrix Gamma Distribution", "topics": [ "dmatrixgamma" ] }, { "page": "dist.Matrix.Normal", "title": "Matrix Normal Distribution", "topics": [ "dmatrixnorm", "rmatrixnorm" ] }, { "page": "dist.Multivariate.Cauchy", "title": "Multivariate Cauchy Distribution", "topics": [ "dmvc", "rmvc" ] }, { "page": "dist.Multivariate.Cauchy.Cholesky", "title": "Multivariate Cauchy Distribution: Cholesky Parameterization", "topics": [ "dmvcc", "rmvcc" ] }, { "page": "dist.Multivariate.Cauchy.Precision", "title": "Multivariate Cauchy Distribution: Precision Parameterization", "topics": [ "dmvcp", "rmvcp" ] }, { "page": "dist.Multivariate.Cauchy.Precision.Cholesky", "title": "Multivariate Cauchy Distribution: Precision-Cholesky Parameterization", "topics": [ "dmvcpc", "rmvcpc" ] }, { "page": "dist.Multivariate.Laplace", "title": "Multivariate Laplace Distribution", "topics": [ "dmvl", "rmvl" ] }, { "page": "dist.Multivariate.Laplace.Cholesky", "title": "Multivariate Laplace Distribution: Cholesky Parameterization", "topics": [ "dmvlc", "rmvlc" ] }, { "page": "dist.Multivariate.Normal", "title": "Multivariate Normal Distribution", "topics": [ "dmvn", "rmvn" ] }, { "page": "dist.Multivariate.Normal.Cholesky", "title": "Multivariate Normal Distribution: Cholesky Parameterization", "topics": [ "dmvnc", "rmvnc" ] }, { "page": "dist.Multivariate.Normal.Precision", "title": "Multivariate Normal Distribution: Precision Parameterization", "topics": [ "dmvnp", "rmvnp" ] }, { "page": "dist.Multivariate.Normal.Precision.Cholesky", "title": "Multivariate Normal Distribution: Precision-Cholesky Parameterization", "topics": [ "dmvnpc", "rmvnpc" ] }, { "page": "dist.Multivariate.Polya", "title": "Multivariate Polya Distribution", "topics": [ "dmvpolya", "rmvpolya" ] }, { "page": "dist.Multivariate.Power.Exponential", "title": "Multivariate Power Exponential Distribution", "topics": [ "dmvpe", "rmvpe" ] }, { "page": "dist.Multivariate.Power.Exponential.Cholesky", "title": "Multivariate Power Exponential Distribution: Cholesky Parameterization", "topics": [ "dmvpec", "rmvpec" ] }, { "page": "dist.Multivariate.t", "title": "Multivariate t Distribution", "topics": [ "dmvt", "rmvt" ] }, { "page": "dist.Multivariate.t.Cholesky", "title": "Multivariate t Distribution: Cholesky Parameterization", "topics": [ "dmvtc", "rmvtc" ] }, { "page": "dist.Multivariate.t.Precision", "title": "Multivariate t Distribution: Precision Parameterization", "topics": [ "dmvtp", "rmvtp" ] }, { "page": "dist.Multivariate.t.Precision.Cholesky", "title": "Multivariate t Distribution: Precision-Cholesky Parameterization", "topics": [ "dmvtpc", "rmvtpc" ] }, { "page": "dist.Normal.Inverse.Wishart", "title": "Normal-Inverse-Wishart Distribution", "topics": [ "dnorminvwishart", "rnorminvwishart" ] }, { "page": "dist.Normal.Laplace", "title": "Normal-Laplace Distribution: Univariate Asymmetric", "topics": [ "dnormlaplace", "rnormlaplace" ] }, { "page": "dist.Normal.Mixture", "title": "Mixture of Normal Distributions", "topics": [ "dnormm", "pnormm", "rnormm" ] }, { "page": "dist.Normal.Precision", "title": "Normal Distribution: Precision Parameterization", "topics": [ "dnormp", "pnormp", "qnormp", "rnormp" ] }, { "page": "dist.Normal.Variance", "title": "Normal Distribution: Variance Parameterization", "topics": [ "dnormv", "pnormv", "qnormv", "rnormv" ] }, { "page": "dist.Normal.Wishart", "title": "Normal-Wishart Distribution", "topics": [ "dnormwishart", "rnormwishart" ] }, { "page": "dist.Pareto", "title": "Pareto Distribution", "topics": [ "dpareto", "ppareto", "qpareto", "rpareto" ] }, { "page": "dist.Power.Exponential", "title": "Power Exponential Distribution: Univariate Symmetric", "topics": [ "dpe", "ppe", "qpe", "rpe" ] }, { "page": "dist.Scaled.Inverse.Wishart", "title": "Scaled Inverse Wishart Distribution", "topics": [ "dsiw", "rsiw" ] }, { "page": "dist.Skew.Discrete.Laplace", "title": "Skew Discrete Laplace Distribution: Univariate", "topics": [ "dsdlaplace", "psdlaplace", "qsdlaplace", "rsdlaplace" ] }, { "page": "dist.Skew.Laplace", "title": "Skew-Laplace Distribution: Univariate", "topics": [ "dslaplace", "pslaplace", "qslaplace", "rslaplace" ] }, { "page": "dist.Stick", "title": "Truncated Stick-Breaking Prior Distribution", "topics": [ "dStick", "rStick" ] }, { "page": "dist.Student.t", "title": "Student t Distribution: Univariate", "topics": [ "dst", "pst", "qst", "rst" ] }, { "page": "dist.Student.t.Precision", "title": "Student t Distribution: Precision Parameterization", "topics": [ "dstp", "pstp", "qstp", "rstp" ] }, { "page": "dist.Truncated", "title": "Truncated Distributions", "topics": [ "dtrunc", "extrunc", "ptrunc", "qtrunc", "rtrunc", "vartrunc" ] }, { "page": "dist.Wishart", "title": "Wishart Distribution", "topics": [ "dwishart", "rwishart" ] }, { "page": "dist.Wishart.Cholesky", "title": "Wishart Distribution: Cholesky Parameterization", "topics": [ "dwishartc", "rwishartc" ] }, { "page": "dist.YangBerger", "title": "Yang-Berger Distribution", "topics": [ "dyangberger", "dyangbergerc" ] }, { "page": "dist.Zellner", "title": "Hyperprior-g Prior and Zellner's g-Prior", "topics": [ "dhyperg", "dzellner", "rzellner" ] }, { "page": "Elicitation", "title": "Prior Elicitation", "topics": [ "delicit", "elicit" ] }, { "page": "ESS", "title": "Effective Sample Size due to Autocorrelation", "topics": [ "ESS" ] }, { "page": "Gelfand.Diagnostic", "title": "Gelfand's Convergence Diagnostic", "topics": [ "Gelfand.Diagnostic" ] }, { "page": "Gelman.Diagnostic", "title": "Gelman and Rubin's MCMC Convergence Diagnostic", "topics": [ "Gelman.Diagnostic" ] }, { "page": "Geweke.Diagnostic", "title": "Geweke's Convergence Diagnostic", "topics": [ "Geweke.Diagnostic" ] }, { "page": "GIV", "title": "Generate Initial Values", "topics": [ "GIV" ] }, { "page": "Hangartner.Diagnostic", "title": "Hangartner's Convergence Diagnostic", "topics": [ "Hangartner.Diagnostic" ] }, { "page": "Heidelberger.Diagnostic", "title": "Heidelberger and Welch's MCMC Convergence Diagnostic", "topics": [ "Heidelberger.Diagnostic" ] }, { "page": "hpc_server", "title": "Server Listening", "topics": [ "server_Listening" ] }, { "page": "IAT", "title": "Integrated Autocorrelation Time", "topics": [ "IAT" ] }, { "page": "Importance", "title": "Variable Importance", "topics": [ "Importance" ] }, { "page": "interval", "title": "Constrain to Interval", "topics": [ "interval" ] }, { "page": "is.appeased", "title": "Appeased", "topics": [ "is.appeased" ] }, { "page": "is.bayesian", "title": "Logical Check of a Bayesian Model", "topics": [ "is.bayesian" ] }, { "page": "is.class", "title": "Logical Check of Classes", "topics": [ "is.bayesfactor", "is.blocks", "is.bmk", "is.demonoid", "is.demonoid.hpc", "is.demonoid.ppc", "is.demonoid.val", "is.hangartner", "is.heidelberger", "is.importance", "is.iterquad", "is.iterquad.ppc", "is.juxtapose", "is.laplace", "is.laplace.ppc", "is.miss", "is.pmc", "is.pmc.ppc", "is.pmc.val", "is.posteriorchecks", "is.raftery", "is.rejection", "is.sensitivity", "is.vb", "is.vb.ppc" ] }, { "page": "is.constant", "title": "Logical Check of a Constant", "topics": [ "is.constant" ] }, { "page": "is.constrained", "title": "Logical Check of Constraints", "topics": [ "is.constrained" ] }, { "page": "is.data", "title": "Logical Check of Data", "topics": [ "is.data" ] }, { "page": "is.model", "title": "Logical Check of a Model", "topics": [ "is.model" ] }, { "page": "is.proper", "title": "Logical Check of Propriety", "topics": [ "is.proper" ] }, { "page": "is.stationary", "title": "Logical Check of Stationarity", "topics": [ "is.stationary" ] }, { "page": "IterativeQuadrature", "title": "Iterative Quadrature", "topics": [ "IterativeQuadrature" ] }, { "page": "joint.density.plot", "title": "Joint Density Plot", "topics": [ "joint.density.plot" ] }, { "page": "joint.pr.plot", "title": "Joint Probability Region Plot", "topics": [ "joint.pr.plot" ] }, { "page": "Juxtapose", "title": "Juxtapose MCMC Algorithm Inefficiency", "topics": [ "Juxtapose" ] }, { "page": "KLD", "title": "Kullback-Leibler Divergence (KLD)", "topics": [ "KLD" ] }, { "page": "KS.Diagnostic", "title": "Kolmogorov-Smirnov Convergence Diagnostic", "topics": [ "KS.Diagnostic" ] }, { "page": "LaplaceApproximation", "title": "Laplace Approximation", "topics": [ "LaplaceApproximation" ] }, { "page": "LaplacesDemon", "title": "Laplace's Demon", "topics": [ "LaplacesDemon", "LaplacesDemon.hpc" ] }, { "page": "LaplacesDemon.RAM", "title": "LaplacesDemon RAM Estimate", "topics": [ "LaplacesDemon.RAM" ] }, { "page": "Levene.Test", "title": "Levene's Test", "topics": [ "Levene.Test" ] }, { "page": "LML", "title": "Logarithm of the Marginal Likelihood", "topics": [ "LML" ] }, { "page": "log-log", "title": "The log-log and complementary log-log functions", "topics": [ "cloglog", "invcloglog", "invloglog", "loglog" ] }, { "page": "logit", "title": "The logit and inverse-logit functions", "topics": [ "invlogit", "logit" ] }, { "page": "LossMatrix", "title": "Loss Matrix", "topics": [ "LossMatrix" ] }, { "page": "LPL.interval", "title": "Lowest Posterior Loss Interval", "topics": [ "LPL.interval" ] }, { "page": "Math", "title": "Math Utility Functions", "topics": [ "GaussHermiteQuadRule", "Hermite", "logadd", "partial" ] }, { "page": "Matrices", "title": "Matrix Utility Functions", "topics": [ "as.indicator.matrix", "as.inverse", "as.parm.matrix", "as.positive.definite", "as.positive.semidefinite", "as.symmetric.matrix", "Cov2Cor", "CovEstim", "GaussHermiteCubeRule", "Hessian", "is.positive.definite", "is.positive.semidefinite", "is.square.matrix", "is.symmetric.matrix", "Jacobian", "logdet", "lower.triangle", "read.matrix", "SparseGrid", "tr", "TransitionMatrix", "upper.triangle" ] }, { "page": "MCSE", "title": "Monte Carlo Standard Error", "topics": [ "MCSE", "MCSS" ] }, { "page": "MinnesotaPrior", "title": "Minnesota Prior", "topics": [ "MinnesotaPrior" ] }, { "page": "MISS", "title": "Multiple Imputation Sequential Sampling", "topics": [ "MISS" ] }, { "page": "Mode", "title": "The Mode(s) of a Vector", "topics": [ "is.amodal", "is.bimodal", "is.multimodal", "is.trimodal", "is.unimodal", "Mode", "Modes" ] }, { "page": "Model.Spec.Time", "title": "Model Specification Time", "topics": [ "Model.Spec.Time" ] }, { "page": "p.interval", "title": "Probability Interval", "topics": [ "p.interval" ] }, { "page": "plot.bmk", "title": "Plot Hellinger Distances", "topics": [ "plot.bmk" ] }, { "page": "plot.demonoid", "title": "Plot samples from the output of Laplace's Demon", "topics": [ "plot.demonoid", "plot.demonoid.hpc" ] }, { "page": "plot.demonoid.ppc", "title": "Plots of Posterior Predictive Checks", "topics": [ "plot.demonoid.ppc" ] }, { "page": "plot.importance", "title": "Plot Variable Importance", "topics": [ "plot.importance" ] }, { "page": "plot.iterquad", "title": "Plot the output of 'IterativeQuadrature'", "topics": [ "plot.iterquad" ] }, { "page": "plot.iterquad.ppc", "title": "Plots of Posterior Predictive Checks", "topics": [ "plot.iterquad.ppc" ] }, { "page": "plot.juxtapose", "title": "Plot MCMC Juxtaposition", "topics": [ "plot.juxtapose" ] }, { "page": "plot.laplace", "title": "Plot the output of 'LaplaceApproximation'", "topics": [ "plot.laplace" ] }, { "page": "plot.laplace.ppc", "title": "Plots of Posterior Predictive Checks", "topics": [ "plot.laplace.ppc" ] }, { "page": "plot.miss", "title": "Plot samples from the output of MISS", "topics": [ "plot.miss" ] }, { "page": "plot.pmc", "title": "Plot samples from the output of PMC", "topics": [ "plot.pmc" ] }, { "page": "plot.pmc.ppc", "title": "Plots of Posterior Predictive Checks", "topics": [ "plot.pmc.ppc" ] }, { "page": "plot.vb", "title": "Plot the output of 'VariationalBayes'", "topics": [ "plot.vb" ] }, { "page": "plot.vb.ppc", "title": "Plots of Posterior Predictive Checks", "topics": [ "plot.vb.ppc" ] }, { "page": "plotMatrix", "title": "Plot a Numerical Matrix", "topics": [ "plotMatrix" ] }, { "page": "plotSamples", "title": "Plot Samples", "topics": [ "plotSamples" ] }, { "page": "PMC", "title": "Population Monte Carlo", "topics": [ "PMC" ] }, { "page": "PMC.RAM", "title": "PMC RAM Estimate", "topics": [ "PMC.RAM" ] }, { "page": "PosteriorChecks", "title": "Posterior Checks", "topics": [ "PosteriorChecks" ] }, { "page": "Precision", "title": "Precision", "topics": [ "Cov2Prec", "Prec2Cov", "prec2sd", "prec2var", "sd2prec", "sd2var", "var2prec", "var2sd" ] }, { "page": "predict.demonoid", "title": "Posterior Predictive Checks", "topics": [ "predict.demonoid" ] }, { "page": "predict.iterquad", "title": "Posterior Predictive Checks", "topics": [ "predict.iterquad" ] }, { "page": "predict.laplace", "title": "Posterior Predictive Checks", "topics": [ "predict.laplace" ] }, { "page": "predict.pmc", "title": "Posterior Predictive Checks", "topics": [ "predict.pmc" ] }, { "page": "predict.vb", "title": "Posterior Predictive Checks", "topics": [ "predict.vb" ] }, { "page": "print.demonoid", "title": "Print an object of class 'demonoid' to the screen", "topics": [ "print.demonoid" ] }, { "page": "print.heidelberger", "title": "Print an object of class 'heidelberger' to the screen", "topics": [ "print.heidelberger" ] }, { "page": "print.iterquad", "title": "Print an object of class 'iterquad' to the screen", "topics": [ "print.iterquad" ] }, { "page": "print.laplace", "title": "Print an object of class 'laplace' to the screen", "topics": [ "print.laplace" ] }, { "page": "print.miss", "title": "Print an object of class 'miss' to the screen", "topics": [ "print.miss" ] }, { "page": "print.pmc", "title": "Print an object of class 'pmc' to the screen", "topics": [ "print.pmc" ] }, { "page": "print.raftery", "title": "Print an object of class 'raftery' to the screen", "topics": [ "print.raftery" ] }, { "page": "print.vb", "title": "Print an object of class 'vb' to the screen", "topics": [ "print.vb" ] }, { "page": "Raftery.Diagnostic", "title": "Raftery and Lewis's diagnostic", "topics": [ "Raftery.Diagnostic" ] }, { "page": "RejectionSampling", "title": "Rejection Sampling", "topics": [ "RejectionSampling" ] }, { "page": "SensitivityAnalysis", "title": "Sensitivity Analysis", "topics": [ "SensitivityAnalysis" ] }, { "page": "SIR", "title": "Sampling Importance Resampling", "topics": [ "SIR" ] }, { "page": "Stick", "title": "Truncated Stick-Breaking", "topics": [ "Stick" ] }, { "page": "summary.demonoid.ppc", "title": "Posterior Predictive Check Summary", "topics": [ "summary.demonoid.ppc" ] }, { "page": "summary.iterquad.ppc", "title": "Posterior Predictive Check Summary", "topics": [ "summary.iterquad.ppc" ] }, { "page": "summary.laplace.ppc", "title": "Posterior Predictive Check Summary", "topics": [ "summary.laplace.ppc" ] }, { "page": "summary.miss", "title": "MISS Summary", "topics": [ "summary.miss" ] }, { "page": "summary.pmc.ppc", "title": "Posterior Predictive Check Summary", "topics": [ "summary.pmc.ppc" ] }, { "page": "summary.vb.ppc", "title": "Posterior Predictive Check Summary", "topics": [ "summary.vb.ppc" ] }, { "page": "Thin", "title": "Thin", "topics": [ "Thin" ] }, { "page": "Validate", "title": "Holdout Validation", "topics": [ "Validate" ] }, { "page": "VariationalBayes", "title": "Variational Bayes", "topics": [ "VariationalBayes" ] }, { "page": "WAIC", "title": "Widely Applicable Information Criterion", "topics": [ "WAIC" ] } ], "_readme": "https://github.com/laplacesdemonr/laplacesdemon/raw/HEAD/README.md", "_rundeps": [], "_vignettes": [ { "source": "BayesianInference.Stex", "filename": "BayesianInference.pdf", "title": "Bayesian Inference", "engine": "utils::Sweave", "headings": [ "Bayes' Theorem", "Model-Based Bayesian Inference", "Components of Bayesian Inference", "Prior Distributions", "Hierarchical Bayes", "Conjugacy", "Likelihood", "Numerical Approximation", "Prediction", "Bayes Factors", "Model Fit", "Posterior Predictive Checks", "Advantages Of Bayesian Inference Over Frequentist Inference", "Advantages Of Frequentist Inference Over Bayesian Inference" ], "created": "2014-03-09 13:41:03", "modified": "2016-07-16 12:06:58", "commits": 8 }, { "source": "Examples.Stex", "filename": "Examples.pdf", "title": "LaplacesDemon Examples", "engine": "utils::Sweave", "headings": [ "Adaptive Logistic Basis (ALB) Regression", "ANCOVA", "ANOVA, One-Way", "ANOVA, Two-Way", "Approximate Bayesian Computation (ABC)", "AR(p)", "AR(p)-ARCH(q)", "AR(p)-ARCH(q)-M", "AR(p)-GARCH(1,1)", "AR(p)-GARCH(1,1)-M", "AR(p)-TARCH(q)", "AR(p)-TARCH(q)-M", "Autoregressive Moving Average, ARMA(p,q)", "Beta Regression", "Beta-Binomial", "Binary Logit", "Binary Log-Log Link 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