This function is a method for class poisreg . Compute the posterior predictive distribution and summary statistics for posterior check of the model; optionally, ...

The posterior predictive distribution is the distribution of the outcome implied by the model after using the observed data to update our beliefs about the ...

11 июл. 2023 г. · The posterior distribution gives probabilities for the model parameters conditional on the data which is information regarding the data generative process.

A posterior predictive check is the comparison between what the fitted model predicts and the actual observed data.

The posterior predictive distribution is the distribution over new observations given previous observations.

With posterior predictive sampling, we need to simulate new data values, once for each posterior sample. These samples can then be compared with the actual data ...

The posterior predictive distribution is the distribution of the outcome implied by the model after using the observed data to update our beliefs about the ...

This function takes the output from simmr_mcmc and plots the posterior predictive distribution to enable visualisation of model fit. The simulated posterior ...

Specifically, you will construct posterior estimates of regression parameters using posterior means & credible intervals, you will test hypotheses using ...

The posterior predictive distribution is the distribution of future observable data, based on the posterior distribution. From: Encyclopedia of Social ...