| COARSE_GRAINED_WIDTH
| Width of segments in MD steps to generate the set of coarse grained data, providing a correlation independent data set.
| | This optional keyword expects an integer. Default value: 50
| | variants: CG_WIDTH | MAX_COARSE_GRAINED_WIDTH |
| | MAX_COARSE_GRAINED_WIDTH
| Max Width of segments in MD steps to generate the set of coarse grained data.
| | This optional keyword expects an integer. Default value: 200
| | variants: MAX_CG_WIDTH | COARSE_GRAINED_POINTS |
| | COARSE_GRAINED_POINTS
| Set the minimum amount of coarse grained points to collect before starting the statistical analysis
| | This optional keyword expects an integer. Default value: 30
| | variants: CG_POINTS | EPS_CONV |
| | EPS_CONV
| Set the relative tolerance for the convergence of the collective variable averages used to compute the free energy.
| | This optional keyword expects a real. Default value: 1.0000000000000000E-02
| K_CONFIDENCE_LIMIT |
| | K_CONFIDENCE_LIMIT
| Set the confidence limit for the Mann-Kendall trend test.
| | This optional keyword expects a real. Default value: 9.0000000000000002E-01
| SW_CONFIDENCE_LIMIT |
| | SW_CONFIDENCE_LIMIT
| Set the confidence limit for the Shapiro-Wilks normality test.
| | This optional keyword expects a real. Default value: 9.0000000000000002E-01
| VN_CONFIDENCE_LIMIT |
| | VN_CONFIDENCE_LIMIT
| Set the confidence limit for the Von Neumann serial correlation test.
| | This optional keyword expects a real. Default value: 9.0000000000000002E-01
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