R-Brain Blog
Introducing R-Brain: A New Data Science Platform
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R-Brain is a next generation platform for data science built on top of Jupyterlab with Docker. It was recently unveiled at JupyterCon in late August. Don’t let the name fool you. R-Brain currently supports R, Python, Structured Query Language (SQL), and more. It has integrated intellisense, debugging, packaging, and publishing capabilities. This cool new solution also has analytics workspace collaboration and marketplace features for personal, professional and enterprise use cases.
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Visual debugging with RIDE
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On R-Blogger there was an interesting article that compares debugging support for R in RStudio and Eclipse StatET [1]. I liked that article very much, but it misses the new RIDE environment, which I am going to add to the comparison in this article.
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Applying Dual Time Dynamic Credit Risk Models in R
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Dual Time Dynamic (DtD) model presented by Breeden (2007) decomposes vintage level data to months-on-books (maturation), calendar date (exogenous) and vintage (quality). In this blog, I demonstrate how we can use APC library to apply DtD models in credit risk management and stress testing.
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See more articles at r-bloggers.com
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