Run sensitivity analysis

Sensitivity analysis runs the model repeatedly with varied parameter values and saves a CSV report.

Configure an analysis

  1. Open Sensitivity Analysis to enter the Sensitivity Studio.
  2. Add or select an analysis and give it a descriptive name.
  3. Choose Monte Carlo or Markov Chain Monte Carlo.
  4. Select a sampling method: Random, Latin Hypercube, or Halton Sequence.
  5. Set the sample count, response variable, evaluation window, and optional sensitivity start time.
  6. Add parameters and choose a distribution and valid bounds for each.
  7. Choose Run Sensitivity.

Evaluation windows can use the final value, entire run, a specific time, or a time period. A sensitivity start time preserves the baseline trajectory before that time and varies parameters afterward.

Parameter distributions

Use Incremental for an evenly spaced deterministic sweep. Random distributions include Uniform, Normal, Log Normal, Logistic, Triangular, Beta, Gamma, Exponential, Pareto, and Weibull. Their extra fields control mean, spread, scale, or shape.

Use bounds that are meaningful and numerically valid. Positive-only distributions require suitable positive values.

Results

Completed runs appear in the run history and are exported as CSV. The latest completed run also supplies the sensitivity section of Validate Model. You can import a compatible sensitivity CSV to restore an analysis definition.

Yano Simulator Help — Version 0.1.0, Build 20260704