A function that uses the beta values of the posterior distribution of the model and calculates the estimates for each theta covariate.
summary_mean(x,prob=0.95)
an object of the class bayesbr, containing the list returned from the bayesbr
function.
a probability containing the credibility index for the HPD interval for the coefficients of the covariates.
A list containing the estimates for the covariables of theta, this list contains the following items:
a table with the means, medians, standard deviations and the Highest Posterior Density (HPD) Interval,
a vector containing the estimated coefficients for the variables.