get_mmrm_sample function

Fit MMRM and returns parameter estimates

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

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().

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.