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Compares two models by evaluating their Bayes factor
● Data Source:
CranContrib
● Keywords:
● Alias: Bayes.factor
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0 images
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Plot the estimates of random effects with confidence intervals
● Data Source:
CranContrib
● Keywords: plot.random.effects, random.effects
● Alias: plot.random.effects
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2 images
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sensory
(Package: Bayesthresh) :
Sensory analysis of banana
An data set for illustrated of the use package Bayesthresh
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: sensory
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0 images
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ACt
(Package: Bayesthresh) :
Albert and Chib algorithm with t-Student distribution for latent variable
Algorithm described by Silva and Bueno Filho (2010) for using in categical data analysis adapted from Albert and Chib (1993).
● Data Source:
CranContrib
● Keywords: models
● Alias: ACt
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0 images
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Predict values based on the Bayesthres model object
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: predict.Bayesthresh
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0 images
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coef.Bayesthresh
(Package: Bayesthresh) :
Coefficients for the fixed effects model
Extract the fixed effects of model. Coefficients correspond to columns of space spanned by the columns of design matrix for fixed effects
● Data Source:
CranContrib
● Keywords:
● Alias: coef.Bayesthresh
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0 images
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random.effects
(Package: Bayesthresh) :
Extract the random effects of the model
Extract the random effects of the model of the class Bayesthres
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: random.effects
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0 images
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Bayesthresh
(Package: Bayesthresh) :
Bayesian thresholds mixed-effects models for categorical data
This package fits a linear mixed model for ordinal categorical responses using Bayesian inference via Monte Carlo Markov Chains. Default is Nandran & Chen algorithm using Gaussian link function and saving just the summaries of the chains. Among the options, package allow for two other options of algorithms, for using Student's "t" link function and for saving the full chains.
● Data Source:
CranContrib
● Keywords:
● Alias: Bayesthresh
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0 images
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Returns the chains of the MCMC process
● Data Source:
CranContrib
● Keywords:
● Alias: MCMCsample
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0 images
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NCt
(Package: Bayesthresh) :
Nandram and Chen (1996) algorithm with t-Student distribution for latent variable
Implementation of Nandram and Chen (1996) algorithm using inverse Student's "t" distribution as link function for latent variable (adapted by Silva 2008).
● Data Source:
CranContrib
● Keywords:
● Alias: NCt
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0 images
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providing 
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