Perform Nonlinear Regression Using 'optim' as the Optimization Engine

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Documentation for package ‘OptimModel’ version 2.0-1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.

Help Pages

beta_model	Beta hook-effect model, gradient, starting values, and back-calculation functions
exp_2o_decay	Five-parameter second-order exponential decay, gradient, starting values, and back-calculation functions
exp_decay	Three-parameter exponential decay, gradient, starting values, and back-calculation functions
exp_decay_pl	Three-parameter exponential decay with initial plateau, gradient, starting values, and back-calculation functions
f2djac	Compute derivative with respect to parameters
getData	Extract data object from an optim fit
getData.optim.fit	Extract data object from an optim fit
get_se_func	Compute standard error for a function of model parameter estimates
gompertz_model	Four-parameter Gompertz model, gradient, starting values, and back-calculation functions
hill5_model	Five-parameter Hill model, gradient, starting values, and back-calculation functions
hill_model	Four-parameter Hill model, gradient, starting values, and back-calculation functions
hill_quad_model	Five-parameter Hill model with quadratic component, gradient, starting values, and back-calculation functions
hill_switchpoint_model	Five-parameter Hill model with switch point component, gradient, starting values, and back-calculation functions
linear_model	Linear model, gradient, and starting values
nlogLik_cauchy	Negative log-likelihood function for Cauchy regression
optim_fit	Fit Model with optim
predict.optim_fit	Predicted values for optim.fit objects
print.optim_fit	Prints optim_fit objects
residuals.optim_fit	Residuals for optim.fit objects
robust_fit	Fit Model with optim
rout_fitter	Fit Model with ROUT
rout_outlier_test	ROUT Outlier Testing
test_fit	Test Fit Parameters
weights_huber	Weight functions for optim_fit
weights_tukey_bw	Weight functions for optim_fit
weights_varConstPower	Weight functions for optim_fit
weights_varExp	Weight functions for optim_fit
weights_varIdent	Weight functions for optim_fit
weights_varPower	Weight functions for optim_fit