Uncertainty analysis can be requested via the RMG input file, which will lead to it being performed upon completion of model generation. Using uncertainty analysis does require that sensitivity analysis settings also be provided, since sensitivity analysis is required part of local uncertainty analysis. Local uncertainty analysis is also used to determine the parameters to vary for global uncertainty analysis, in order to minimize computational cost. For global analysis, PCE fitting can be controlled by specifying either a maximum runtime, error tolerance, or maximum number of model evaluations. These methods can also be applied to already-generated models via standalone scripts and interactive Jupyter notebooks, with the limitation that the same RMG version must be used for both model generation and analysis. These new tools can provide insights beyond first-order sensitivity analysis to aid in the model development process.