fit_slim: Fitter Function for Singular Linear Models

In slim: Singular Linear Models for Longitudinal Data

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.

slim documentation built on May 2, 2019, 7:04 a.m.