summary.var_estimate function

Summary Method for var_estimate Objects

Summarize the posterior distribution of each partial correlation and regression coefficient with the posterior mean, standard deviation, and credible intervals.

## S3 method for class 'var_estimate'
summary(object, cred = 0.95, ...)

Arguments

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

Returns

A dataframe containing the summarized posterior distributions, including both the partial correlations and the regression coefficients.

• pcor_results A data frame including the summarized partial correlations
• beta_results A list containing the summarized regression coefficients (one data frame for each outcome)

Examples

# data
Y <- subset(ifit, id == 1)[,-1]

# fit model with alias (var_estimate also works)
fit <- var_estimate(Y, progress = FALSE)

# summary ('pcor')
print(
summary(fit, cred = 0.95),
param = "pcor",
)

# summary ('beta')
print(
summary(fit, cred = 0.95),
param = "beta",
)

See Also

var_estimate