checknames

This is an internal function called by <code>qgcomp</code>,
<code>qgcomp.glm.boot</code>, and <code>qgcomp.glm.noboot</code>,
but is documented here for clarity. Generally, users will not need to call
this function directly. This function tries to determine whether there are
non-linear terms in the underlying model, which helps infer whether the
appropriate function is called, and whether more explicit function calls
are needed.

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; <doi:10.1289/EHP5838>.

Alexander Keil

qgcomp

Quantile G-Computation

checknames function

<dl><dt>terms</dt>
<dd>model terms from attr(terms(modelfunction, data), "term.labels")</dd></dl>

Arguments

Check for valid model terms in a qgcomp fit — checknames

<dl>

<dt>terms</dt>
<dd>model terms from attr(terms(modelfunction, data), "term.labels")</dd>

</dl>

checknames: Check for valid model terms in a qgcomp fit

Description

Usage

Arguments