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Fit MMRM and returns parameter estimates

Source: R/draws.R
get_mmrm_sample.Rd

get_mmrm_sample fits the base imputation model using a ML/REML approach. Returns the parameter estimates from the fit.

Usage 

get_mmrm_sample(ids, longdata, method)

Arguments

ids

vector of characters containing the ids of the subjects.

longdata

R6 longdata object containing all relevant input data information.

method

A method object as generated by either method_approxbayes() or method_condmean().

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.