reconstruct_intlen

Computes interval lengths from the sorted unique values of the time variable
in newdata. This is used by add_* functions that need intlen for cumulative
calculations. If <code>tstart</code> is not available, the first interval length is
taken as the first sorted time value (implicitly assuming a 0-origin time
scale).

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

reconstruct_intlen function

<dl><dt>newdata</dt>
<dd>A data frame with a time column (default <code>tend</code>).</dd>
<dt>time_var</dt>
<dd>Character name of the time variable. Defaults to
<code>"tend"</code>.</dd>
<dt>interval_length</dt>
<dd>Character name of the interval-length column to create.</dd></dl>

Arguments

Reconstruct intlen from time variable and stored cut points — reconstruct_intlen

<dl>

<dt>newdata</dt>
<dd>A data frame with a time column (default <code>tend</code>).</dd>


<dt>time_var</dt>
<dd>Character name of the time variable. Defaults to
<code>"tend"</code>.</dd>


<dt>interval_length</dt>
<dd>Character name of the interval-length column to create.</dd>

</dl>

reconstruct_intlen: Reconstruct intlen from time variable and stored cut points

Description

Usage

Value

Arguments