values: Values of a Posteriori Distribution
In bayesbr: Beta Regression on a Bayesian Model

Description Usage Arguments Details Value See Also

A function that uses the values returned from the sampling function of RStan and returns the parameter chain of the posterior distribution, the parameters can be beta, gamma, theta or zeta.

values(
  type = c("beta", "gamma", "theta", "zeta", "tau_delta", "tau_xi", "xi", "delta"),
  obj,
  iter,
  warmup,
  n,
  par
)

`type`	Characters indicating which values will be returned by the function
`obj`	containing the data returned from the sampling function of the Rstan package. This type of object is used because it returns the values of the posterior distribution of the model.
`iter`	A positive integer specifying the number of iterations for each chain (including warmup).
`warmup`	A positive integer specifying the number of iterations that will be in the warm-up period.
`n`	The number of observations of the model's variable response.
`par`	A number containing the number of parameters for theta or zeta. If type is equal to beta or theta par is similar to p (number of parameters for theta), otherwise even is similar to q (number of parameters for zeta). When type is equal to 'delta', 'xi', 'tau_xi', or 'tau_delta' the par variable verify spatial effect in adjusted model.

The function values returns the parameter of interest by taking the data returned by the Stan function excluding the warmup period data. All data returned is in the format of 5 decimal places.

A list containing the values according to the type argument, the values are returned excluding the warmups.

summary_mean,summary_precision,model.bayesbr

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