Conditional indepepence estimates for path analysis

Obtain conditional independence estimates for path analysis. Estimates are standardized.

Usage

bmasem_ci_results(object, interval = 0.9, summarize = TRUE)

Arguments

object

(bmasem) An object of bmasem-class returned by bayesianmasem.

interval

Confidence interval to select

summarize

(LOGICAL) If TRUE (default): Return posterior summary as data.frame; If FALSE: Return posterior draws as data.frame.

Value

Table of parameters related to conditional independence.

Examples

if (FALSE) { # \dontrun{
model_syntax <- paste(
  "BI ~ ATT + SN + PBC",
  "BEH ~ PBC + BI",
  sep = "\n"
)
fit <- bmasem(
  model_syntax,
  sample_cov = cooke16$data, sample_nobs = cooke16$n
)
ci_table <- bmasem_ci_results(fit)
} # }