flexFitR1.2.1 package

Flexible Non-Linear Least Square Model Fitting

anova.modeler

Extra Sum-of-Squares F-Test for modeler objects

augment

Augment a modeler object with influence diagnostics

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

dot-delta_method_auc

Delta method AUC estimation

dot-delta_method_deriv

Delta method for derivative estimation

dot-delta_method_gen

Delta method generic function

dot-delta_method

Delta method point estimation

dot-fitter_curve

General-purpose optimization

explorer

Explore data

ff_auc

Function for AUC estimation

ff_deriv

Function for derivatives

ff

Function for point estimation

fitted.modeler

Extract fitted values from a modeler object

flexFitR-package

flexFitR: Flexible Non-Linear Least Square Model Fitting

fn_exp_exp

Double-exponential function

fn_exp_lin

Exponential-linear function

fn_exp2_exp

Super-exponential exponential function

fn_exp2_lin

Super-exponential linear function

fn_lin_logis

Linear-logistic function

fn_lin_pl_lin

Linear plateau linear function

fn_lin_pl_lin2

Linear plateau linear with constrains

fn_lin_plat

Linear plateau function

fn_lin

Linear function

fn_logistic

Logistic function

fn_quad_pl_sm

Smooth Quadratic-plateau function

fn_quad_plat

Quadratic-plateau function

fn_quad

Quadratic function

goodness_of_fit

Akaike's An Information Criterion for an object of class modeler

inverse_predict.modeler

Inverse prediction from a modeler object

inverse_predict

Generic for inverse prediction

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_fn

Plot user-defined function

plot.explorer

Plot an object of class explorer

plot.modeler

Plot an object of class modeler

plot.performance

Plot an object of class performance

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

Provides tools for flexible non-linear least squares model fitting using general-purpose optimization techniques. The package supports a variety of optimization algorithms, including those provided by the 'optimx' package, making it suitable for handling complex non-linear models. Features include parallel processing support via the 'future' and 'foreach' packages, comprehensive model diagnostics, and visualization capabilities. Implements methods described in Nash and Varadhan (2011, <doi:10.18637/jss.v043.i09>).

  • Maintainer: Johan Aparicio
  • License: MIT + file LICENSE
  • Last published: 2025-11-04