Dear R users, I am looking for R packages that would best approximate Oracle's Crystall Ball [1]. For those not familiar: "Crystal Ball software is a leading spreadsheet-based software suite for predictive modeling, forecasting, Monte Carlo simulation and optimization. [..] Crystal Ball is used by customers from a broad range of industries, such as aerospace, financial services, manufacturing, oil and gas, pharmaceutical and utilities. Crystal Ball is used in over 800 universities and schools worldwide for teaching risk analysis concepts.
The diverse applications for Crystal Ball include financial risk analysis, valuation, engineering, Six Sigma, portfolio allocation, cost estimation, and project management. " [1] http://www.oracle.com/crystalball/index.html The other day, in the Risk Management class, we did Monte Carlo simulations using Crystall Ball&Excel. The professor (a relatively young MIT PhD) made a speech that felt a bit distressing, in short: "Working in Finance, Excel, Excel and nothing but Excel." I would prefer to avoid this. R's packages with Monte Carlo support are numerous, and I wouldn't know where to start. Recently [2] as alternative to Crystall Ball QRMlib [3] was suggested, but it is accompanied with a book, while currently I would prefer online documentation. If any of the R GUI packages support something similar, please also drop a note. [2] http://www.nabble.com/Quantitative-risk-analysis-with-R-tp19184940p19184940.html [3] http://cran.r-project.org/web/packages/QRMlib/index.html Thank you, Liviu PS I'm cross-posting; please let me know if this is not a good idea ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
