Package: flexFitR 1.1.0

flexFitR: Flexible Non-Linear Least Square Model Fitting

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>).

Authors:Johan Aparicio [cre, aut], Jeffrey Endelman [aut], University of Wisconsin Madison [cph]

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flexFitR.pdf |flexFitR.html✨
flexFitR/json (API)
NEWS

# Install 'flexFitR' in R:
install.packages('flexFitR', repos = c('https://apariciojohan.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/apariciojohan/flexfitr/issues

Pkgdown site:https://apariciojohan.github.io

Datasets:
  • dt_potato - Drone-derived data from a potato breeding trial

On CRAN:

nlsoptimization

7.02 score 2 stars 67 scripts 222 downloads 20 exports 108 dependencies

Last updated 2 hours agofrom:2ae22eb2f5. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-winOKFeb 20 2025
R-4.5-macOKFeb 20 2025
R-4.5-linuxOKFeb 20 2025
R-4.4-winOKFeb 20 2025
R-4.4-macOKFeb 20 2025
R-4.3-winOKFeb 20 2025
R-4.3-macOKFeb 20 2025

Exports:.fitter_curveaugmentexplorerfn_exp1_expfn_exp1_linfn_exp2_expfn_exp2_linfn_linfn_lin_pl_linfn_lin_pl_lin2fn_linear_satfn_logisticfn_quadlist_funslist_methodsmetricsmodelerperformanceplot_fnseries_mutate

Dependencies:abindagriutilitiesbackportsbootbroomcarcarDataclicodetoolscolorspacecorrplotcowplotcpp11data.tableDerivdigestdoBydoFuturedotCall64dplyremmeansestimabilityevaluatefansifarverfieldsforeachFormulafuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsglueGPArotationgridExtragtablehighrisobanditeratorsknitrlabelinglatticelifecyclelistenvlme4lmerTestmagrittrmapprojmapsMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivoptimxparallellypbkrtestpillarpkgconfigpolynompracmaprogressrpsychpurrrqtlquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrstatixscalesspamSparseMSpATSstatgenSTAstringistringrsubplexsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxtableyaml

How to start

Rendered fromhow_to_start.Rmdusingknitr::rmarkdownon Feb 20 2025.

Last update: 2025-02-17
Started: 2024-08-20

Modeling

Rendered fromcanopy-model.Rmdusingknitr::rmarkdownon Feb 20 2025.

Last update: 2025-02-18
Started: 2024-06-30

Modeling with constraints

Rendered frommaturity-model.Rmdusingknitr::rmarkdownon Feb 20 2025.

Last update: 2024-11-22
Started: 2024-07-01

Plotting options

Rendered fromplotting.Rmdusingknitr::rmarkdownon Feb 20 2025.

Last update: 2024-12-23
Started: 2024-09-23

Predicted values

Rendered frompredicted_values.Rmdusingknitr::rmarkdownon Feb 20 2025.

Last update: 2024-11-25
Started: 2024-11-22

Readme and manuals

Help Manual

Help pageTopics
Extra Sum-of-Squares F-Test for 'modeler' objectsanova.modeler
Augment a 'modeler' object with influence diagnosticsaugment
Combine objects of class 'modeler'c.modeler
Coefficients for an object of class 'modeler'coef.modeler
Confidence Intervals for a modeler Objectconfint.modeler
Drone-derived data from a potato breeding trialdt_potato
Explore dataexplorer
Exponential exponential function 1fn_exp1_exp
Exponential linear function 1fn_exp1_lin
Exponential exponential Function 2fn_exp2_exp
Exponential linear function 2fn_exp2_lin
Linear functionfn_lin
Linear plateau linear functionfn_lin_pl_lin
Linear plateau linear with constrainsfn_lin_pl_lin2
Linear plateau functionfn_linear_sat
Logistic functionfn_logistic
Quadratic functionfn_quad
Akaike's An Information Criterion for an object of class 'modeler'AIC.modeler BIC.modeler goodness_of_fit
Print available functions in flexFitRlist_funs
Print available methods in flexFitRlist_methods
Extract Log-Likelihood for an object of class 'modeler'logLik.modeler
Metrics for an object of class 'modeler'metrics
Modeler: Non-linear regression for curve fittingmodeler
Compare performance of different modelsperformance
Plot user-defined functionplot_fn
Plot an object of class 'explorer'plot.explorer
Plot an object of class 'modeler'plot.modeler
Plot an object of class 'performance'plot.performance
Predict an object of class 'modeler'predict.modeler
Print an object of class 'modeler'print.modeler
Transform variables in a data frameseries_mutate
Subset an object of class 'modeler'subset.modeler
Variance-Covariance matrix for an object of class 'modeler'vcov.modeler