sigma.gsl_nls: Residual standard deviation

In gslnls: GSL Multi-Start Nonlinear Least-Squares Fitting

Residual standard deviation

Description

Returns the estimated (unweighted) residual standard deviation of a fitted "gsl_nls" object.

Usage

## S3 method for class 'gsl_nls'
sigma(object, ...)

Arguments

object	An object inheriting from class "gsl_nls".
...	At present no optional arguments are used.

Value

Numeric residual standard deviation value similar to sigma

See Also

sigma

Examples

## data
set.seed(1)
n <- 25
xy <- data.frame(
  x = (1:n) / n,
  y = 2.5 * exp(-1.5 * (1:n) / n) + rnorm(n, sd = 0.1)
)
## model
obj <- gsl_nls(fn = y ~ A * exp(-lam * x), data = xy, start = c(A = 1, lam = 1))

sigma(obj)

gslnls documentation built on April 3, 2025, 8:59 p.m.