Change Details

Following improvements should be checked: 1. Find fit parameter in user supplied fit function automatically - DONE Currently the fit parameter has to be given by the user which is more work than necessary. We should check if we can get this information from the parser. 2. Improve output of results. see https://reference.wolfram.com/language/howto/FitModelsWithMeasurementErrors.html Maybe use tables to improve visibility - DONE calculate t test / F test / p- value of parameter? http://reliawiki.org/index.php/Multiple_Linear_Regression_Analysis#Estimating_Regression_Models_Using_Least_Squares https://onlinecourses.science.psu.edu/stat501/node/297 3. support different weighting types. see http://www.originlab.de/doc/Origin-Help/FIt-with-Err-Weight, http://reference.wolfram.com/language/ref/Weights.html, http://www.graphpad.com/guides/prism/6/curve-fitting/index.htm?reg_weighted_nonlinear_regression.htm 4. support x-errors for fitting. 5. implement missing fit models for statistical distributions.

Following improvements should be checked: 1. Find fit parameter in user supplied fit function automatically - DONE Currently the fit parameter has to be given by the user which is more work than necessary. We should check if we can get this information from the parser. 2. Improve output of results. see https://reference.wolfram.com/language/howto/FitModelsWithMeasurementErrors.html Maybe use tables to improve visibility - DONE calculate t test / F test / p- value of parameter? http://reliawiki.org/index.php/Multiple_Linear_Regression_Analysis#Estimating_Regression_Models_Using_Least_Squares https://onlinecourses.science.psu.edu/stat501/node/297 http://reliawiki.org/index.php/Simple_Linear_Regression_Analysis 3. support different weighting types. see http://www.originlab.de/doc/Origin-Help/FIt-with-Err-Weight, http://reference.wolfram.com/language/ref/Weights.html, http://www.graphpad.com/guides/prism/6/curve-fitting/index.htm?reg_weighted_nonlinear_regression.htm 4. support x-errors for fitting. 5. implement missing fit models for statistical distributions.

Following improvements should be checked: 1. Find fit parameter in user supplied fit function automatically - DONE Currently the fit parameter has to be given by the user which is more work than necessary. We should check if we can get this information from the parser. 2. Improve output of results. see https://reference.wolfram.com/language/howto/FitModelsWithMeasurementErrors.html Maybe use tables to improve visibility - DONE calculate t test / F test / p- value of parameter? http://reliawiki.org/index.php/Multiple_Linear_Regression_Analysis#Estimating_Regression_Models_Using_Least_Squares https://onlinecourses.science.psu.edu/stat501/node/297 http://reliawiki.org/index.php/Simple_Linear_Regression_Analysis 3. support different weighting types. see http://www.originlab.de/doc/Origin-Help/FIt-with-Err-Weight, http://reference.wolfram.com/language/ref/Weights.html, http://www.graphpad.com/guides/prism/6/curve-fitting/index.htm?reg_weighted_nonlinear_regression.htm 4. support x-errors for fitting. 5. implement missing fit models for statistical distributions.