summary_mean: Variable Coefficients for Theta
In bayesbr: Beta Regression on a Bayesian Model

A function that uses the beta values of the posterior distribution of the model and calculates the estimates for each theta covariate.

1	summary_mean(x,prob=0.95)

`x`	an object of the class bayesbr, containing the list returned from the `bayesbr` function.
`prob`	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:

table: a table with the means, medians, standard deviations and the Highest Posterior Density (HPD) Interval,
coeff: a vector containing the estimated coefficients for the variables.

bayesbr documentation built on July 17, 2021, 1:07 a.m.