sample_single function

Create object of sample_single class

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

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.

Returns

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.