relax SVN archive

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.

Moved multifit_covar into lib.statistics, since it is an independent module.

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

API documentation fixes.

Fix for 'r1' not being added to parameters, when looking up model in dictionary.

bug #22541(https://gna.org/bugs/?22541): The R1 fit flag does not work in the GUI.

Fix for systemtest test_estimate_r2eff_err and test_r1rho_kjaergaard_missing_r1, where r1_fit=True, needed to be send to Auto_analyses.

bug #22541(https://gna.org/bugs/?22541): The R1 fit flag does not work in the GUI.

Added model DPL94, to be tested in gui-test Relax_disp.test_r2eff_err_estimate.

This shows that the bug is still there.

bug #22541(https://gna.org/bugs/?22541): The R1 fit flag does not work in the GUI.

Clean-up in gui-test Relax_disp.test_r2eff_err_estimate.

This now passes after previous commit.

bug #22541(https://gna.org/bugs/?22541): The R1 fit flag does not work in the GUI.

Fix for also storing 'r1_fit' to cdp even though it is set to False.

bug #22541(https://gna.org/bugs/?22541): The R1 fit flag does not work in the GUI.

Improved systemtest test_bug_negative_intensities_cpmg, by counting number of R2eff points.

Spin 4, which has one negative intensity, is expected to have one less R2eff point.

This makes sure, that all CPMG data set can be loaded and analysed, even if some peaks are very weak
are fluctuating with error level.