anova.gsl_nls |
Anova tables |
coef.gsl_nls |
Extract model coefficients |
confint.gsl_nls |
Confidence interval for model parameters |
confintd |
Confidence intervals for derived parameters |
confintd.gsl_nls |
Confidence intervals for derived parameters |
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.formula |
GSL Nonlinear Least Squares fitting |
gsl_nls.function |
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_large.formula |
GSL Large-scale Nonlinear Least Squares fitting |
gsl_nls_large.function |
GSL Large-scale Nonlinear Least Squares fitting |
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 |