Takes patient level data and beta coefficients and expands them
to get a patient specific estimate for the visit distribution parameters
mu and sigma. Returns the values in a specific format
which is expected by downstream functions in the imputation process
(namely list(list(mu = ..., sigma = ...), list(mu = ..., sigma = ...))).
Arguments
- dat
Patient level dataset, must be 1 row per visit. Column order must be in the same order as beta. The number of columns must match the length of beta
- beta
List of model beta coefficients. There should be 1 element for each sample e.g. if there were 3 samples and the models each had 4 beta coefficients then this argument should be of the form
list( c(1,2,3,4) , c(5,6,7,8), c(9,10,11,12)). All elements of beta must be the same length and must be the same length and order asdat.- sigma
List of sigma. Must have the same number of entries as
beta.