get_cvgrphs

This internal function obtains the covariate plots for <code>gformula_survival</code>, <code>gformula_continuous_eof</code>, and <code>gformula_binary_eof</code>.

internal

Implements the non-iterative conditional expectation (NICE)
algorithm of the g-formula algorithm (Robins (1986)
<doi:10.1016/0270-0255(86)90088-6>, Hernán and Robins (2024, ISBN:9781420076165)).
The g-formula can estimate an outcome's counterfactual mean or risk under
hypothetical treatment strategies (interventions) when there is sufficient
information on time-varying treatments and confounders.
This package can be used for discrete or continuous time-varying treatments
and for failure time outcomes or continuous/binary end of follow-up
outcomes. The package can handle a random measurement/visit process and a
priori knowledge of the data structure, as well as censoring (e.g., by loss
to follow-up) and two options for handling competing events for failure time
outcomes. Interventions can be flexibly specified, both as interventions on
a single treatment or as joint interventions on multiple treatments.
See McGrath et al. (2020) <doi:10.1016/j.patter.2020.100008> for a guide on
how to use the package.

Sean McGrath

gfoRmula

Parametric G-Formula

Victoria Lin

Zilu Zhang

Roger W. Logan

Lucia C. Petito

Jing Li

McGee Emma

Cheng Carrie

Jessica G. Young

Miguel A. Hernán

2019 The President and Fellows of Harvard College 

get_cvgrphs function

<dl><dt>x</dt>
<dd>Object of class "gformula_survival", "gformula_continuous_eof", or "gformula_binary_eof".</dd>
<dt>covnames</dt>
<dd>Vector of character strings specifying the names of the time-varying covariates to be plotted. The ordering of covariates given here is used in the plot grid.</dd>
<dt>covtypes</dt>
<dd>Vector of character strings specifying the "type" of each time-varying covariate included in <code>covnames</code>. The possible "types" are: <code>"binary"</code>, <code>"normal"</code>, <code>"categorical"</code>, <code>"bounded normal"</code>, <code>"zero-inflated normal"</code>, <code>"truncated normal"</code>, <code>"absorbing"</code>, <code>"categorical time"</code>, and <code>"custom"</code>.</dd>
<dt>xlab</dt>
<dd>Character string for the x axes of all plots.</dd>
<dt>ylab_cov</dt>
<dd>Vector of character strings for the y axes of the plots for the covariates. This argument must be the same length as <code>covnames</code>. The i-th element of this argument corresponds to the plot for the i-th element of <code>covnames</code>.</dd></dl>

Arguments

Get Covariate Plots — get_cvgrphs

<dl>

<dt>x</dt>
<dd>Object of class "gformula_survival", "gformula_continuous_eof", or "gformula_binary_eof".</dd>


<dt>covnames</dt>
<dd>Vector of character strings specifying the names of the time-varying covariates to be plotted. The ordering of covariates given here is used in the plot grid.</dd>


<dt>covtypes</dt>
<dd>Vector of character strings specifying the "type" of each time-varying covariate included in <code>covnames</code>. The possible "types" are: <code>"binary"</code>, <code>"normal"</code>, <code>"categorical"</code>, <code>"bounded normal"</code>, <code>"zero-inflated normal"</code>, <code>"truncated normal"</code>, <code>"absorbing"</code>, <code>"categorical time"</code>, and <code>"custom"</code>.</dd>


<dt>xlab</dt>
<dd>Character string for the x axes of all plots.</dd>


<dt>ylab_cov</dt>
<dd>Vector of character strings for the y axes of the plots for the covariates. This argument must be the same length as <code>covnames</code>. The i-th element of this argument corresponds to the plot for the i-th element of <code>covnames</code>.</dd>

</dl>

Get Covariate Plots

get_cvgrphs: Get Covariate Plots

Description

Usage

Value

Arguments