get_pars: Extract parameters from fitted model.

In zoid: Bayesian Zero-and-One Inflated Dirichlet Regression Modelling

Extract parameters from fitted model.

Description

Extract estimated parameters from fitted model.

Usage

get_pars(fitted_model, conf_int = 0.05)

Arguments

fitted_model	The fitted model returned as an rstan object from the call to zoid
conf_int	Parameter controlling confidence intervals calculated, defaults to 0.05 for 95% intervals

Value

A list containing the posterior summaries of estimated parameters. At minimum, this will include p (the estimated proportions) and betas (the predicted values in transformed space). For models with overdispersion, an extra element phi will also be returned, summarizing overdispersion. For models with random intercepts, estimates of the group level effects will also be returned as zetas (again, in transformed space). For predictions in normal space, see get_fitted()

Examples

y <- matrix(c(3.77, 6.63, 2.60, 0.9, 1.44, 0.66, 2.10, 3.57, 1.33),
  nrow = 3, byrow = TRUE
)
# fit a model with no covariates
fit <- fit_zoid(data_matrix = y)
p_hat <- get_pars(fit)

zoid documentation built on May 29, 2024, 2 a.m.