relax SVN archive

In module for estimating R2eff errors, removed " values, errors" to be send to function for gradient, since they are not used.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Added number of simulations to 10.000 in test script, and varied the random number of time point per simulation between 3 and 10.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

First try to make a test script for estimating effienciency on R2eff error calculations.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Initial try write comments how to generalize the scaling of the co-variance according to the reduced chi2 distribution.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Fix for systemtest test_estimate_r2eff_err_methods. The function was called wrong in experimental class.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Fix to systemtest test_estimate_r2eff_err, after removing the possibility to use the chi2 Jacobian.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Fix to eksperimental class for fitting with different methods. After moving the funciont into class, 'self' should be added to the funcion.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Moved the argument 'chi2_jacobian' as the last argument in estimate_r2eff_err.

This argument is highly likely not to be used, but is kept for future testing purposes.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Improved documentation to user function relax_disp.r2eff_err_estimate, and removed the possibility to use the chi2 Jacobian, as this is rubbish.

But the back-end still have this possibility, should one desire to try this.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Moved "func_exp_grad" into experimental class for different minimisation methods.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.