Package index
model fitting
Functions associated with inference and selection for Bayesian Linear and Generalized Linear Models
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bas.glm() - Bayesian Adaptive Sampling Without Replacement for Variable Selection in Generalized Linear Models
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bas.lm() - Bayesian Adaptive Sampling for Bayesian Model Averaging and Variable Selection in Linear Models
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bayesglm.fit() - Fitting Generalized Linear Models and Bayesian marginal likelihood evaluation
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coef(<bas>)print(<coef.bas>) - Coefficients of a Bayesian Model Average object
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confint(<coef.bas>) - Compute Credible Intervals for BAS regression coefficients from BAS objects
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confint(<pred.bas>) - Compute Credible (Bayesian Confidence) Intervals for a BAS predict object
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cv.summary.bas() - Summaries for Out of Sample Prediction
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diagnostics() - BAS MCMC diagnostic plot
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eplogprob() - eplogprob - Compute approximate marginal inclusion probabilities from pvalues
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eplogprob.marg() - eplogprob.marg - Compute approximate marginal inclusion probabilities from pvalues
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fitted(<bas>) - Fitted values for a BAS BMA objects
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force.heredity.bas() - Post processing function to force constraints on interaction inclusion bas BMA objects
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image(<bas>) - Images of models used in Bayesian model averaging
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plot(<bas>) - Plot Diagnostics for an BAS Object
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plot(<coef.bas>) - Plots the posterior distributions of coefficients derived from Bayesian model averaging
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plot(<confint.bas>) - Plot Bayesian Confidence Intervals
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predict(<bas>) - Prediction Method for an object of class BAS
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predict(<basglm>) - Prediction Method for an Object of Class basglm
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print(<bas>) - Print a Summary of Bayesian Model Averaging objects from BAS
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summary(<bas>) - Summaries of Bayesian Model Averaging objects from BAS
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update(<bas>) - Update BAS object using a new prior
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variable.names(<pred.bas>) - Extract the variable names for a model from a BAS prediction object
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beta.prime() - Beta-Prime Prior Distribution for Coefficients in BMA Model
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CCH() - Generalized g-Prior Distribution for Coefficients in BMA Models
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EB.global() - Find the global Empirical Bayes estimates for BMA
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EB.local() - Empirical Bayes Prior Distribution for Coefficients in BMA Model
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g.prior() - Families of G-Prior Distribution for Coefficients in BMA Models
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hyper.g() - Hyper-g-Prior Distribution for Coefficients in BMA Models
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hyper.g.n() - Generalized hyper-g/n Prior Distribution for g for mixtures of g-priors on Coefficients in BMA Models
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IC.prior() - Information Criterion Families of Prior Distribution for Coefficients in BMA Models
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intrinsic() - Intrinsic Prior Distribution for Coefficients in BMA Models
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Jeffreys() - Jeffreys Prior Distribution for $g$ for Mixtures of g-Priors for Coefficients in BMA Models
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robust() - Robust-Prior Distribution for Coefficients in BMA Model
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tCCH() - Generalized tCCH g-Prior Distribution for Coefficients in BMA Models
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TG() - Generalized g-Prior Distribution for Coefficients in BMA Models
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testBF.prior() - Test based Bayes Factors for BMA Models
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Bernoulli() - Independent Bernoulli Prior Distribution for Models
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Bernoulli.heredity() - Independent Bernoulli prior on models that with constraints for model hierarchy induced by interactions
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beta.binomial() - Beta-Binomial Prior Distribution for Models
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tr.beta.binomial() - Truncated Beta-Binomial Prior Distribution for Models
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tr.poisson() - Truncated Poisson Prior Distribution for Models
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tr.power.prior() - Truncated Power Prior Distribution for Models
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uniform() - Uniform Prior Distribution for Models
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hypergeometric1F1() - Confluent hypergeometric1F1 function
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hypergeometric2F1() - Gaussian hypergeometric2F1 function
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phi1() - Compound Confluent hypergeometric function of two variables
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Bayes.outlier() - Bayesian Outlier Detection
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list2matrix.bas() - Coerce a BAS list object into a matrix.
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list2matrix.which() - Coerce a BAS list object into a matrix.
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which.matrix() - Coerce a BAS list object of models into a matrix.
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BAS - BAS: Bayesian Model Averaging using Bayesian Adaptive Sampling
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Bayes.outlier() - Bayesian Outlier Detection
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Bernoulli() - Independent Bernoulli Prior Distribution for Models
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Bernoulli.heredity() - Independent Bernoulli prior on models that with constraints for model hierarchy induced by interactions
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CCH() - Generalized g-Prior Distribution for Coefficients in BMA Models
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EB.global() - Find the global Empirical Bayes estimates for BMA
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EB.local() - Empirical Bayes Prior Distribution for Coefficients in BMA Model
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IC.prior() - Information Criterion Families of Prior Distribution for Coefficients in BMA Models
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Jeffreys() - Jeffreys Prior Distribution for $g$ for Mixtures of g-Priors for Coefficients in BMA Models
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TG() - Generalized g-Prior Distribution for Coefficients in BMA Models
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bas.glm() - Bayesian Adaptive Sampling Without Replacement for Variable Selection in Generalized Linear Models
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bas.lm() - Bayesian Adaptive Sampling for Bayesian Model Averaging and Variable Selection in Linear Models
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bayesglm.fit() - Fitting Generalized Linear Models and Bayesian marginal likelihood evaluation
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beta.binomial() - Beta-Binomial Prior Distribution for Models
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beta.prime() - Beta-Prime Prior Distribution for Coefficients in BMA Model
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climate - Climate Data
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coef(<bas>)print(<coef.bas>) - Coefficients of a Bayesian Model Average object
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confint(<coef.bas>) - Compute Credible Intervals for BAS regression coefficients from BAS objects
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confint(<pred.bas>) - Compute Credible (Bayesian Confidence) Intervals for a BAS predict object
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cv.summary.bas() - Summaries for Out of Sample Prediction
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diagnostics() - BAS MCMC diagnostic plot
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eplogprob() - eplogprob - Compute approximate marginal inclusion probabilities from pvalues
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eplogprob.marg() - eplogprob.marg - Compute approximate marginal inclusion probabilities from pvalues
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fitted(<bas>) - Fitted values for a BAS BMA objects
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force.heredity.bas() - Post processing function to force constraints on interaction inclusion bas BMA objects
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g.prior() - Families of G-Prior Distribution for Coefficients in BMA Models
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hyper.g() - Hyper-g-Prior Distribution for Coefficients in BMA Models
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hyper.g.n() - Generalized hyper-g/n Prior Distribution for g for mixtures of g-priors on Coefficients in BMA Models
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hypergeometric1F1() - Confluent hypergeometric1F1 function
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hypergeometric2F1() - Gaussian hypergeometric2F1 function
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image(<bas>) - Images of models used in Bayesian model averaging
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intrinsic() - Intrinsic Prior Distribution for Coefficients in BMA Models
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list2matrix.bas() - Coerce a BAS list object into a matrix.
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list2matrix.which() - Coerce a BAS list object into a matrix.
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phi1() - Compound Confluent hypergeometric function of two variables
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plot(<bas>) - Plot Diagnostics for an BAS Object
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plot(<coef.bas>) - Plots the posterior distributions of coefficients derived from Bayesian model averaging
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plot(<confint.bas>) - Plot Bayesian Confidence Intervals
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predict(<bas>) - Prediction Method for an object of class BAS
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predict(<basglm>) - Prediction Method for an Object of Class basglm
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print(<bas>) - Print a Summary of Bayesian Model Averaging objects from BAS
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protein - Protein Activity Data
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robust() - Robust-Prior Distribution for Coefficients in BMA Model
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summary(<bas>) - Summaries of Bayesian Model Averaging objects from BAS
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tCCH() - Generalized tCCH g-Prior Distribution for Coefficients in BMA Models
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testBF.prior() - Test based Bayes Factors for BMA Models
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tr.beta.binomial() - Truncated Beta-Binomial Prior Distribution for Models
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tr.poisson() - Truncated Poisson Prior Distribution for Models
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tr.power.prior() - Truncated Power Prior Distribution for Models
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trCCH() - Truncated Compound Confluent Hypergeometric function
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uniform() - Uniform Prior Distribution for Models
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update(<bas>) - Update BAS object using a new prior
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variable.names(<pred.bas>) - Extract the variable names for a model from a BAS prediction object
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which.matrix() - Coerce a BAS list object of models into a matrix.