nuclear

This dataset originates from IAEA and contains 730 power.
The data contains the following variables:<dl>
<dt>months</dt>
<dd>Construction time</dd><dt>status</dt>
<dd>Event indicator (0 = censored, 1 = construction finished).</dd><dt>region</dt>
<dd>Continent, Africa/Asia, America, Europe, Soviet Union and Warsaw Pact</dd>
</dl>

datasets

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

nuclear function

An object of class <code>data.frame</code> with 724 rows and 3 columns.

Format

This dataset originates from IAEA and contains 730 power.
The data contains the following variables:<dl>
<dt>months</dt>
<dd>Construction time</dd>

<dt>status</dt>
<dd>Event indicator (0 = censored, 1 = construction finished).</dd>

<dt>region</dt>
<dd>Continent, Africa/Asia, America, Europe, Soviet Union and Warsaw Pact</dd>


</dl>

nuclear: Time until nuclear power plant construction in different regions.

Description

Usage

Arguments

Format