get_fitted: Extract estimates of predicted latent proportions.
In zoid: Bayesian Zero-and-One Inflated Dirichlet Regression Modelling

get_fitted

R Documentation

Extract estimates of predicted latent proportions.

Description

Extract point estimates of compositions from fitted model.

Usage

get_fitted(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, with element mu (the predicted values in normal space). For predictions in transformed space, or overdispersion, see get_pars()

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_fitted(fit)

zoid documentation built on Sept. 12, 2023, 1:21 a.m.