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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
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Bayesian survival analysis
The function example is conducted under the framework of spatial copula models (i.e. the function spCopulaCoxph). Briefly speaking, you just need to ignore the spred=s0 in the prediction settings, tha …