Flexible Non-Linear Least Square Model Fitting

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Documentation for package ‘flexFitR’ version 1.2.0

• 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
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_lin_pl_lin2	Linear plateau linear with constrains
fn_logistic	Logistic 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'