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Currently available distributions
| Distribution name | Distribution variable | Notes |
|---|---|---|
| uniform | half_range | mean is the median (middle) value, and half_range half the difference between the highest and lowest value. |
| uniform_relative | scale_factor | A normal distribution where the highest and lowest possible value are mean* (1+scale_factor) and mean* (1-scale_factor) respectively. Scale factor to be given as a decimal. |
| weibull | k, scale_factor | Does not take a mean value. Equivalent to scale_factor*(-ln((U))1/a where U is the uniform distribution over [0, 1). |
| truncated_weibull | truncation_threshold, k, scale_factor | Same as above, except if the value is greater than the truncation threshold then it is resampled. With default values for dhypo calculation this will occur in 0.005% of cases |
| truncated_normal | std_dev, std_dev_limit | Similar to normal distribution, except all values fall within [std_dev_limit] standard deviations of the mean. std_dev_limit has a default value of 2. |
| truncated_log_normal | std_dev, std_dev_limit | Similar to log normal distribution, except all values of the underlying normal distribution fall within [std_dev_limit] standard deviations of the mean. std_dev_limit has a default value of 2. Mean must be given as a string of the form "log(x)" where x is the unmodified value of the mean. |
Internal changes
In order to simplify the implementation of this, we have chosen to have every parameter added to the slurm script and passed as an argument to the simulation script, which will then discard any parameters it does not recognize.
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