Man pages for gslnls
GSL Multi-Start Nonlinear Least-Squares Fitting
| anova.gsl_nls | Anova tables |
| coef.gsl_nls | Extract model coefficients |
| confintd | Confidence intervals for derived parameters |
| confintd.gsl_nls | Confidence intervals for derived parameters |
| confint.gsl_nls | Confidence interval for model parameters |
| cooks.distance.gsl_nls | Calculate Cook's distance |
| deviance.gsl_nls | Model deviance |
| df.residual.gsl_nls | Residual degrees-of-freedom |
| fitted.gsl_nls | Extract model fitted values |
| formula.gsl_nls | Extract model formula |
| gsl_nls | GSL Nonlinear Least Squares fitting |
| gsl_nls_control | Tunable Nonlinear Least Squares iteration parameters |
| gsl_nls_large | GSL Large-scale Nonlinear Least Squares fitting |
| gsl_nls_loss | Robust loss functions with tunable parameters |
| hatvalues.gsl_nls | Calculate leverage values |
| logLik.gsl_nls | Extract model log-likelihood |
| nls_test_list | Available NLS test problems |
| nls_test_problem | Retrieve an NLS test problem |
| nobs.gsl_nls | Extract the number of observations |
| predict.gsl_nls | Calculate model predicted values |
| residuals.gsl_nls | Extract model residuals |
| sigma.gsl_nls | Residual standard deviation |
| summary.gsl_nls | Model summary |
| vcov.gsl_nls | Calculate variance-covariance matrix |
