flexFitR (version 1.2.2)

update.modeler: Update a modeler object

Description

It creates a new fitted object using the parameter values from the current model as initial values. It can also be used to perform a few additional iterations of a model that has not converged.

Usage

# S3 method for modeler
update(object, method = NULL, track = TRUE, eps = 1e-06, ...)

Value

An object of class modeler, which is a list containing the following elements:

param

Data frame containing optimized parameters and related information.

dt

Data frame with input data, fitted values, and residuals.

metrics

Metrics and summary of the models.

execution

Total execution time for the analysis.

response

Name of the response variable analyzed.

keep

Metadata retained based on the keep argument.

fun

Name of the curve-fitting function used.

parallel

List containing parallel execution details (if applicable).

fit

List of fitted models for each group.

Arguments

object

An object of class modeler.

method

A character vector specifying optimization methods. Check available methods using list_methods(). Defaults to the ones in object.

track

Logical. If TRUE, the function compares the SSE before and after the update and reports how many groups improved. Useful for evaluating whether the refit led to better convergence.

eps

Numeric. The minimum change in SSE required to consider a fit improved. Defaults to 1e-6. Smaller values may include numerical noise as improvements.

...

Additional parameters for future functionality.

Examples

library(flexFitR)
data(dt_potato)
mo_1 <- dt_potato |>
  modeler(
    x = DAP,
    y = GLI,
    grp = Plot,
    fn = "fn_lin_pl_lin",
    parameters = c(t1 = 10, t2 = 62, t3 = 90, k = 0.32, beta = -0.01),
    subset = 195
  )
plot(mo_1)
mo_2 <- update(mo_1)
plot(mo_2)