get_cumulative

expand_cumulative

Given formula specification on how time-dependent covariates affect the
outcome, creates respective functional covariate as well as auxiliary
matrices for time/latency etc.

internal

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

get_cumulative function

<dl><dt>data</dt>
<dd>Data frame (or similar) in which variables specified in ...
will be looked for</dd>
<dt>formula</dt>
<dd>A formula containing <code>cumulative</code> specials,
that specify the type of cumulative effect one wants to estimate. For details
see the vignettes on data transformation and time-dependent covariates.</dd>
<dt>func</dt>
<dd>Single evaluated <code>cumulative</code> term.</dd></dl>

Arguments

Expand time-dependent covariates to functionals — get_cumulative

<dl>

<dt>data</dt>
<dd>Data frame (or similar) in which variables specified in ...
will be looked for</dd>


<dt>formula</dt>
<dd>A formula containing <code>cumulative</code> specials,
that specify the type of cumulative effect one wants to estimate. For details
see the vignettes on data transformation and time-dependent covariates.</dd>


<dt>func</dt>
<dd>Single evaluated <code>cumulative</code> term.</dd>

</dl>

get_cumulative: Expand time-dependent covariates to functionals

Description

Usage

Arguments