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Module for performing Monte Carlo simulations for error analysis.
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__package__ =
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Imports: diag, ndarray, sqrt, gauss, statistics, RelaxError, check_pipe, return_api
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Estimate model parameter errors via the covariance matrix technique. Note that the covariance matrix error estimate is always of lower quality than Monte Carlo simulations.
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Function for creating simulation data.
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Function for calculating errors from the Monte Carlo simulations. The standard deviation formula used to calculate the errors is the square root of the bias-corrected variance, given by the formula: __________________________ / 1 sd = / ----- * sum({Xi - Xav}^2) \/ n - 1 where
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Set the select flag of all simulations of all models to one.
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Store the Monte Carlo simulation number.
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