gg_tensor

Given a gam model this convenience function returns a <code>ggplot2</code> object
depicting 2d smooth terms specified in the model as heat/contour plots. If
more than one 2d smooth term is present individual terms are faceted.

The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a
powerful model class for the analysis of survival (or time-to-event) data,
based on Generalized Additive (Mixed) Models (GA(M)Ms).
It offers intuitive specification and robust estimation of complex survival
models with stratified baseline hazards, random effects, time-varying effects,
time-dependent covariates and cumulative effects (Bender and others (2019)),
as well as support for left-truncated data as well as competing risks,
recurrent events and multi-state settings.
pammtools provides tidy workflow for survival analysis with PAMMs,
including data simulation, transformation and other functions for data
preprocessing and model post-processing as well as visualization.

Andreas Bender

pammtools

Piece-Wise Exponential Additive Mixed Modeling Tools for
Survival Analysis

Fabian Scheipl

Johannes Piller

Philipp Kopper

Lukas Burk

gg_tensor function

<dl><dt>x</dt>
<dd>a fitted <code>gam</code> object as produced by <code>gam()</code>.</dd>
<dt>ci</dt>
<dd>A logical value indicating whether confidence intervals should be
calculated and returned. Defaults to <code>TRUE</code>.</dd>
<dt>...</dt>
<dd>Further arguments passed to <code><a href="/link/plot.gam?package=pammtools&version=0.7.3" data-mini-rdoc="pammtools::plot.gam">plot.gam</a></code></dd></dl>

Arguments

Plot tensor product effects — gg_tensor

<dl>

<dt>x</dt>
<dd>a fitted <code>gam</code> object as produced by <code>gam()</code>.</dd>


<dt>ci</dt>
<dd>A logical value indicating whether confidence intervals should be
calculated and returned. Defaults to <code>TRUE</code>.</dd>


<dt>...</dt>
<dd>Further arguments passed to <code><a href='https://rdrr.io/pkg/mgcv/man/plot.gam.html'>plot.gam</a></code></dd>

</dl>

gg_tensor: Plot tensor product effects

Description

Usage

Arguments

See Also

Examples