reconstruct_cutpoints

Checks whether all cut points up to the maximum observed time are present in
<code>newdata</code>. If not, expands the data frame to include the missing
breakpoints via <code>expand_df</code>. In either case the function guarantees that
an interval-length column (default <code>intlen</code>) exists on return.
Existing grouping is preserved after expansion.

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_cutpoints function

<dl><dt>newdata</dt>
<dd>A data frame with a time column and, optionally, grouping.
Must carry the <code>trafo_args</code> and <code>intvars</code> attributes set by
<code>as_ped</code>.</dd>
<dt>object</dt>
<dd>A fitted PAM/PAMM model object, passed to <code>expand_df</code>.</dd>
<dt>time_var</dt>
<dd>Character name of the time variable (e.g. <code>"tend"</code>).</dd>
<dt>interval_length</dt>
<dd>Character name of the interval-length column. If
absent from <code>newdata</code> it is created via <code>reconstruct_intlen</code>.</dd></dl>

Arguments

Ensure all breakpoints are present in newdata for cumulative calculations — reconstruct_cutpoints

<dl>

<dt>newdata</dt>
<dd>A data frame with a time column and, optionally, grouping.
Must carry the <code>trafo_args</code> and <code>intvars</code> attributes set by
<code>as_ped</code>.</dd>


<dt>object</dt>
<dd>A fitted PAM/PAMM model object, passed to <code>expand_df</code>.</dd>


<dt>time_var</dt>
<dd>Character name of the time variable (e.g. <code>"tend"</code>).</dd>


<dt>interval_length</dt>
<dd>Character name of the interval-length column. If
absent from <code>newdata</code> it is created via <code>reconstruct_intlen</code>.</dd>

</dl>

reconstruct_cutpoints: Ensure all breakpoints are present in newdata for cumulative calculations

Description

Usage

Value

Arguments