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Creates an object of class sample_single which is a named list containing the input parameters and validate them.

Usage

sample_single(
  ids,
  beta = NA,
  sigma = NA,
  theta = NA,
  failed = any(is.na(beta)),
  ids_samp = ids
)

Arguments

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.

Value

A named list of class sample_single. It contains 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.