# Flexible Non-Linear Least Square Model Fitting

## Documentation for package ‘flexFitR’ version 1.2.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

AIC.modeler | Akaike's An Information Criterion for an object of class 'modeler'
anova.modeler | Extra Sum-of-Squares F-Test for 'modeler' objects
augment | Augment a 'modeler' object with influence diagnostics
BIC.modeler | Akaike's An Information Criterion for an object of class 'modeler'
c.modeler | Combine objects of class 'modeler'
coef.modeler | Coefficients for an object of class 'modeler'
compute_tangent | Compute tangent line(s) from a 'modeler' object
confint.modeler | Confidence intervals for a modeler object
dt_potato | Drone-derived data from a potato breeding trial (2020)
dt_potato_22 | Drone-derived data from a potato breeding trial (2022)
dt_soybean_22 | Soybean canopy cover from HTP platform (Keller et all., 2026)
explorer | Explore data
fitted.modeler | Extract fitted values from a 'modeler' object
fn_exp2_exp | Super-exponential exponential function
fn_exp2_lin | Super-exponential linear function
fn_exp_exp | Double-exponential function
fn_exp_lin | Exponential-linear function
fn_lin | Linear function
fn_lin_logis | Linear-logistic function
fn_lin_plat | Linear plateau function
fn_lin_pl_lin | Linear plateau linear function
fn_lll | Linear–logistic–linear function
fn_logistic | Logistic function
fn_lpl | Linear plateau linear with constrains
fn_qpl | Quadratic–plateau–linear function
fn_quad | Quadratic function
fn_quad_plat | Quadratic-plateau function
fn_quad_pl_sm | Smooth Quadratic-plateau function
goodness_of_fit | Akaike's An Information Criterion for an object of class 'modeler'
inverse_predict.modeler | Inverse prediction from a 'modeler' object
list_funs | Print available functions in flexFitR
list_methods | Print available methods in flexFitR
logLik.modeler | Extract Log-Likelihood for an object of class 'modeler'
metrics | Metrics for an object of class 'modeler'
modeler | Modeler: Non-linear regression for curve fitting
performance | Compare performance of different models
plot.explorer | Plot an object of class 'explorer'
plot.modeler | Plot an object of class 'modeler'
plot.performance | Plot an object of class 'performance'
plot_fn | Plot user-defined function
predict.modeler | Predict an object of class 'modeler'
print.modeler | Print an object of class 'modeler'
residuals.modeler | Extract residuals from a 'modeler' object
series_mutate | Transform variables in a data frame
subset.modeler | Subset an object of class 'modeler'
update.modeler | Update a 'modeler' object
vcov.modeler | Variance-Covariance matrix for an object of class 'modeler'