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Thanks for the reply. Does your tool assume that the variables are normally distributed for the Monte Carlo analysis you run? It looks like your tool is closer

• refrigerator 7y ago
  We actually assume uniform distributions for the inputs of the sensitivity analysis. This tool is a standalone thing, and you're right — it's similar to TopRank. Our actual product, Causal (https://causal.app https://causal.app) has aspects of @RISK, but packaged in our own (non-spreadsheet) modelling paradigm.
  • emarsden 7y ago
    Nice demo! It's perhaps a little confusing if you're using uniform probability distributions for the sensitivity analysis inputs, but normal distributions for the uncertainty analysis (shown at https://causal.app/buy-to-rent https://causal.app/buy-to-rent). A previous comment mentions you are using SALib in Python, which can (even if it's not documented) use normal probability distributions for the inputs: here's a notebook with an example: https://risk-engineering.org/notebook/sensitivity-analysis.html https://risk-engineering.org/notebook/sensitivity-analysis.h...