as_draws: Creates a 'draws' object

In rbmi: Reference Based Multiple Imputation

Creates a draws object

Description

Creates a draws object which is the final output of a call to draws().

Usage

as_draws(method, samples, data, formula, n_failures = NULL, fit = NULL)

Arguments

method	A method object as generated by either method_bayes(), method_approxbayes(), method_condmean() or method_bmlmi().
samples	A list of sample_single objects. See sample_single().
data	R6 longdata object containing all relevant input data information.
formula	Fixed effects formula object used for the model specification.
n_failures	Absolute number of failures of the model fit.
fit	If method_bayes() is chosen, returns the MCMC Stan fit object. Otherwise NULL.

Value

A draws object which is a named list containing the following:

• data: R6 longdata object containing all relevant input data information.

• method: A method object as generated by either method_bayes(), method_approxbayes() or method_condmean().

• samples: list containing the estimated parameters of interest. Each element of samples is a named list containing the following:

  • ids: vector of characters containing the ids of the subjects included in the original dataset.

  • beta: numeric vector of estimated regression coefficients.

  • sigma: list of estimated covariance matrices (one for each level of vars$group).

  • theta: numeric vector of transformed covariances.

  • failed: Logical. TRUE if the model fit failed.

  • ids_samp: vector of characters containing the ids of the subjects included in the given sample.

• fit: if method_bayes() is chosen, returns the MCMC Stan fit object. Otherwise NULL.

• n_failures: absolute number of failures of the model fit. Relevant only for method_condmean(type = "bootstrap"), method_approxbayes() and method_bmlmi().

• formula: fixed effects formula object used for the model specification.

rbmi documentation built on Nov. 24, 2023, 5:11 p.m.