dot-fitter_curve: General-purpose optimization
In flexFitR: Flexible Non-Linear Least Square Model Fitting

.fitter_curve

R Documentation

General-purpose optimization

Description

The function .fitter_curve is used internally to find the parameters requested.

Usage

.fitter_curve(
  data,
  id,
  fn,
  method,
  lower,
  upper,
  control,
  metadata,
  trace,
  fn_str
)

Arguments

`data`	A nested data.frame with columns <plot, genotype, row, range, data, initials, fx_params>.
`id`	An optional vector of IDs to filter the data. Default is `NULL`, meaning all ids are used.
`fn`	A function to be used for the curve fitting. Default is `"fn_lin_plat"`.
`method`	A character vector specifying the optimization methods to be used. See `optimx` package for available methods. Default is `c("subplex", "pracmanm", "anms")`.
`lower`	Numeric vector specifying the lower bounds for the parameters. Default is `-Inf` for all parameters.
`upper`	Numeric vector specifying the upper bounds for the parameters. Default is `Inf` for all parameters.
`control`	A list of control parameters to be passed to the optimization function. For example, `list(maxit = 500)`.
`trace`	If `TRUE` , convergence monitoring of the current fit is reported in the console. `FALSE` by default.
`fn_str`	A string specifying the name of the function to be used for the curve fitting. Default is `"fn_lin_plat"`.

Value

A list containing the following elements:

kkopt: opm object.
param: Data frame with best solution parameters.
rr: Data frame with all methods tested.
details: Additional details of the best solution.
hessian: Hessian matrix.
type: Data frame describing the type of coefficient (estimable of fixed)
conv: Convergency.
p: Number of parameters estimated.
n_obs: Number of observations.
uid: Unique identifier.
fn_name: Name of the curve-fitting function used.

Examples

library(flexFitR)
data(dt_potato)
mod_1 <- dt_potato |>
  modeler(
    x = DAP,
    y = GLI,
    grp = Plot,
    fn = "fn_lin_pl_lin",
    parameters = c(t1 = 38.7, t2 = 62, t3 = 90, k = 0.32, beta = -0.01),
    subset = 195,
    options = list(add_zero = TRUE)
  )

flexFitR documentation built on Nov. 5, 2025, 6:56 p.m.