Generate Initial Parameter Guess

Estimates initial parameter values from the data, providing a starting point for optimization.

Usage

peak_model_initial_guess(model, x, y, peak_idx)

Arguments

model

A peak_model object.

x

Numeric vector of x values.

y

Numeric vector of y values (signal intensity).

peak_idx

Integer index of the peak maximum in x and y.

Value

Named list of initial parameter values.

Details

A good initial guess is crucial for successful optimization. The method should estimate parameters from local features of the data (peak height, width at half maximum, asymmetry, etc.).

See also

peak_model_bounds()

Examples

model <- create_peak_model("gaussian")
x <- seq(0, 10, by = 0.1)
y <- dnorm(x, mean = 5, sd = 1)
peak_idx <- which.max(y)
initial <- peak_model_initial_guess(model, x, y, peak_idx)
initial
#> $height
#> [1] 0.3989423
#> 
#> $center
#> [1] 5
#> 
#> $width
#> [1] 1.019186
#>