tidy_smooth2d

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

keep

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

Further arguments passed to <code><a rd-options="mgcv" href="/link/plot.gam?package=pammtools&version=0.1.14&to=mgcv" data-mini-rdoc="mgcv::plot.gam">plot.gam</a></code>

Extract 2d smooth objects in tidy format.

The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and Scheipl (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 (2018) <doi:10.1093/biostatistics/kxy003>.
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

tidy_smooth2d function

Further arguments passed to <code><a rd-options='mgcv' href='plot.gam'>plot.gam</a></code>

tidy_smooth2d: Extract 2d smooth objects in tidy format.

Description

Usage

Arguments