ESGtoolkit, a tool for Monte Carlo simulation (v0.2.0)
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I’m still receiving questions about ESGtoolkit – a tool that I developped in 2014 for stochastic simulation – from time to time, even if it’s not really my current focus. As I also noticed recently, ESGtoolkit
is downloaded a few times each month:
If you recognize yourself in these numbers, I’d be really happy to hear from you (via thierry dot moudiki at pm dot me or a pull request on Github), about your use of ESGtoolkit
. This will prevent me from accidentally breaking the interface, and you won’t ask yourself “it worked perfectly yesterday, why is it broken today?”.
I decided to declutter it a little bit on Github, so that it can host your future contributions/remarks/suggestions. The new version, v0.2.0, contains an updated vignette and a refactored code. Simulation functions simdiff
and simshocks
include a reproducibility seed (random state) now, for you to be able to… reproduce your simulations from one function call to the other.
Package vignette should be a good introduction. Otherwise, if this vignette is too technical, please refer to these blog posts, here and here, or this presentation.
Contributions/remarks/suggestions are welcome as usual. You can submit a pull request on Github or send me an email: thierry dot moudiki at pm dot me.
Note: I am currently looking for a gig. You can hire me on Malt or send me an email: thierry dot moudiki at pm dot me. I can do descriptive statistics, data preparation, feature engineering, model calibration, training and validation, and model outputs’ interpretation. I am fluent in Python, R, SQL, Microsoft Excel, Visual Basic (among others) and French. My résumé? Here!
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