get_mmrm_sample: Fit MMRM and returns parameter estimates

In rbmi: Reference Based Multiple Imputation

Fit MMRM and returns parameter estimates

Description

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.

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