Last chance! 50% off unlimited learning
Sale ends in
Returns Cook's distance values from a fitted "gsl_nls" object based on the estimated
variance-covariance matrix of the model parameters.
# S3 method for gsl_nls
cooks.distance(model, ...)Numeric vector of Cook's distance values similar to cooks.distance.
An object inheriting from class "gsl_nls".
At present no optional arguments are used.
## 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))
cooks.distance(obj)
Run the code above in your browser using DataLab