Create a Peak Model Object — new_peak_model • measure

Creates a new peak model S3 object. This is the base constructor for all peak shape models used in deconvolution.

Usage

new_peak_model(
  name,
  n_params,
  param_names,
  description = "",
  technique = NULL,
  ...
)

Arguments

name: Character name of the model (e.g., "gaussian", "emg").
n_params: Number of parameters in the model.
param_names: Character vector of parameter names.
description: Brief description of the model.
technique: Optional technique name (e.g., "SEC/GPC"). If NULL, model is general-purpose.
...: Additional model-specific attributes.

Value

A peak_model S3 object with subclass {name}_peak_model.

See also

peak_model_value(), peak_model_gradient(), peak_model_bounds()

Examples

# Create a simple Gaussian model
model <- new_peak_model(
  name = "gaussian",
  n_params = 3,
  param_names = c("height", "center", "width"),
  description = "Symmetric Gaussian peak"
)
print(model)
#> <peak_model: gaussian >
#>   Parameters (3): height, center, width 
#>   Description: Symmetric Gaussian peak