get_mmrm_sample
fits the base imputation model using a ML/REML approach.
Returns the parameter estimates from the fit.
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 eithermethod_approxbayes()
ormethod_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 ofvars$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.