get_visit_distribution_parameters: Derive visit distribution parameters

In rbmi: Reference Based Multiple Imputation

Derive visit distribution parameters

Description

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 = ...))).

Usage

get_visit_distribution_parameters(dat, beta, 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 as dat.
sigma	List of sigma. Must have the same number of entries as beta.

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