parse_by_level

<p>Fallback for the rare case where <code>by.level</code> is unavailable. A label such as
<code>"s(tend):metastasesyes"</code> encodes the level (<code>"yes"</code>) as the suffix of
the by-variable name (<code>"metastases"</code>).</p>

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

parse_by_level function

Parse the factor level from a factor-by smooth label — parse_by_level

Parse the factor level from a factor-by smooth label

parse_by_level: Parse the factor level from a factor-by smooth label

Description

Usage

Arguments