notify.PushbulletNotifier

S3 method to send notifications via Pushbullet

internal

Provides tools to safely and efficiently organize and execute
Monte Carlo simulation experiments in R.
The package controls the structure and back-end of Monte Carlo simulation experiments
by utilizing a generate-analyse-summarise workflow. The workflow safeguards against
common simulation coding issues, such as automatically re-simulating non-convergent results,
prevents inadvertently overwriting simulation files, catches error and warning messages
during execution, implicitly supports parallel processing with high-quality random number
generation, and provides tools for managing high-performance computing (HPC) array jobs
submitted to schedulers such as SLURM. For a pedagogical introduction to the package see
Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of
the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.

Phil Chalmers

SimDesign

Structure for Organizing Monte Carlo Simulation Designs

Matthew Sigal

Ogreden Oguzhan

Mikko  Ronkko

Moritz Ketzer

notify.PushbulletNotifier function

<dl><dt>notifier</dt>
<dd>A TelegramNotifier object created with new_TelegramNotifier()</dd>
<dt>event</dt>
<dd>Character string indicating the notification trigger ("condition" or "complete")</dd>
<dt>event_data</dt>
<dd>List containing context information for the notification</dd></dl>

Arguments

S3 method to send notifications via Pushbullet — notify.PushbulletNotifier

<dl>

<dt>notifier</dt>
<dd>A TelegramNotifier object created with new_TelegramNotifier()</dd>


<dt>event</dt>
<dd>Character string indicating the notification trigger ("condition" or "complete")</dd>


<dt>event_data</dt>
<dd>List containing context information for the notification</dd>

</dl>

notify.PushbulletNotifier: S3 method to send notifications via Pushbullet

Description

Usage

Value

Arguments