Print Method for adjMixBayes Objects

Provides a concise summary of the Bayesian adjustment object created by adjMixBayes.

Usage

# S3 method for class 'adjMixBayes'
print(x, ...)

Arguments

x

An object of class adjMixBayes.

...

Additional arguments passed to methods.

Value

Invisibly returns x.

Details

This method inspects the reference-based data environment to report the number of linked records without copying the full dataset. It safely handles cases where the linked data is unspecified (NULL). It also prints the user-specified priors or outlines the defaults that will be used.

Examples

data(lifem)

# lifem data preprocessing
# For computational efficiency in the example, we work with a subset of the lifem data.
lifem <- lifem[order(-(lifem$commf + lifem$comml)), ]
lifem_small <- rbind(
  head(subset(lifem, hndlnk == 1), 100),
  head(subset(lifem, hndlnk == 0), 20)
)

adj_obj <- adjMixBayes(
  linked.data = lifem_small,
  priors = list(theta = "beta(2, 2)")
)

# Implicitly calls print.adjMixBayes()
adj_obj
#> 
#> --- Adjustment Object: Bayesian Mixture (Gutman et al., 2016) ---
#> 
#> * Linked Data:
#>     Observations: 120
#> * Priors:
#>     User-specified overrides:
#>       theta      : beta(2, 2)
#>     (Unspecified parameters will use defaults below)
#>     Defaults applied during fitting:
#>       GLM:        beta ~ normal(0,5) [binomial: normal(0,2.5)]
#>       Survival:   beta ~ normal(0,5) [weibull: normal(0,2)]
#>       Mix Weight: theta ~ beta(1,1)
#>