glance.qgcompfit

Glance accepts a model object and returns a 
tibble::tibble() with exactly one row of model summaries. The summaries are 
typically goodness of fit measures, p-values for hypothesis tests on residuals, 
or model convergence information.
Glance never returns information from the original call to the modelling function. 
This includes the name of the modelling function or any arguments passed to the 
modelling function.
Glance does not calculate summary measures. Rather, it farms out these computations 
to appropriate methods and gathers the results together. Sometimes a goodness of 
fit measure will be undefined. In these cases the measure will be reported as NA.
(Description taken from <code>broom::glance</code> help file.)

G-computation for a set of time-fixed exposures
with quantile-based basis functions, possibly under linearity and
homogeneity assumptions. This approach estimates a regression line
corresponding to the expected change in the outcome (on the link
basis) given a simultaneous increase in the quantile-based category
for all exposures. Works with continuous, binary, and right-censored
time-to-event outcomes. Reference: Alexander P. Keil, Jessie P.
Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and
Alexandra J. White (2019) A quantile-based g-computation approach to
addressing the effects of exposure mixtures; <arXiv:1902.04200>
[stat.ME].

glance.qgcompfit: Glance at a qgcompfit object

Description

Usage

Arguments