fit_slim: Fitter Function for Singular Linear Models
Description
This function computes the limiting solution to the estimating equation
sum(x' V^-1 (y - x beta)) = 0 as the covariance V tends from V[, , 1] +
V[, , 2] to V[, , 1].
Usage
fit_slim(x, V, y)
Arguments
x
list of design matrices, one for each subject, all having the same
number of columns.
V
list of covariance arrays, one for each subject, matching the
dimensions of y.
y
list of response vectors, one for each subject.
Value
a list with components coefficients (the limiting solution),
residuals, fitted_values, vcov_empirical and vcov_modelled.