R: GSL Multi-Start Nonlinear Least-Squares Fitting

# GSL Multi-Start Nonlinear Least-Squares Fitting

## Documentation for package ‘gslnls’ version 1.4.2

- DESCRIPTION file
- Package NEWS

## Help Pages

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
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.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
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