Gradient ascent MLE solver for Weibull series model with masked component cause of failure with observation of exact system lifetime and right censoring.

Gradient ascent MLE solver for Weibull series model with masked component cause of failure with observation of exact system lifetime and right censoring.

mle_grad_wei_series_md_c1_c2_c3(
  df,
  theta0,
  hessian = TRUE,
  ...,
  control = list()
)

Arguments

df

data frame, right-censored lifetimes with masked component cause of failure

theta0

initial parameter vector

hessian

logical, if TRUE, then the Hessian is estimated and returned

...

additional arguments passed to loglik_wei_series_md_c1_c2_c3 and score_wei_series_md_c1_c2_c3.

control

list of control parameters to control the gradient ascent solver.

Value

list with components:

• par final parameter vector

• value final log-likelihood

• iter number of iterations

• convergence convergence code

• hessian estimated Hessian