regression_summary: Summarary Method for Multivariate or Univarate Regression

In BGGM: Bayesian Gaussian Graphical Models

Summarary Method for Multivariate or Univarate Regression

Description

Summarary Method for Multivariate or Univarate Regression

Usage

regression_summary(object, cred = 0.95, ...)

Arguments

object	An object of class estimate
cred	Numeric. The credible interval width for summarizing the posterior distributions (defaults to 0.95; must be between 0 and 1).
...	Currently ignored

Value

A list of length p including the summaries for each regression.

Examples

# note: iter = 250 for demonstrative purposes

# data
Y <- bfi

Y <- subset(Y, select = c("A1", "A2", 
                          "gender", "education"))

fit_mv_ordinal <- estimate(Y, formula = ~ gender + as.factor(education),
                           type = "continuous",
                           iter = 250,
                           progress = TRUE)

regression_summary(fit_mv_ordinal)

BGGM documentation built on Sept. 11, 2024, 5:19 p.m.