Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 5 of 5 found.
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BCEs0-package (Package: BCEs0) :

Implements a full Bayesian cost-effectiveness analysis in the case where the cost variable is characterised by structural zeros. The package implements the Gamma, log-Normal and Normal models for the cost variable and the Gamma, Beta, Bernoulli and Normal models for the measure of clinical effectiveness.
● Data Source: CranContrib
● Keywords: Bayesian models, Cost-effectiveness analysis, Hurdle models, Structural zero costs
● Alias: BCEs0, BCEs0-package
● 0 images

print.bces0 (Package: BCEs0) :

Specific method for objects in the class BCEs0
● Data Source: CranContrib
● Keywords: Bayesian models for cost-effectiveness analysis, JAGS, Markov Chain Monte Carlo
● Alias: print.bces0
● 0 images

writeModel (Package: BCEs0) :

This function selects suitable bits of JAGS code to build the model file encoding the selected distributional assumptions for the cost and effectiveness variables (and for the selection model)
● Data Source: CranContrib
● Keywords: Bayesian models, JAGS
● Alias: writeModel
● 0 images

plot.bces0 (Package: BCEs0) :

Produces a traceplot for the main nodes in the model
● Data Source: CranContrib
● Keywords: Bayesian models for cost-effectiveness analysis, JAGS, Markov Chain Monte Carlo
● Alias: plot.bces0
● 0 images

bces0 (Package: BCEs0) :

Writes a model file encoding the distributional assumptions, calls JAGS in background and perform the Bayesian analysis of the selected model.
● Data Source: CranContrib
● Keywords: Bayesian models for cost-effectiveness analysis, JAGS, Markov Chain Monte Carlo
● Alias: bces0, bces0.default
1 images