md_mle_weibull_series_C1_C2_C3: Maximum likelihood estimator for Weibull series in which each...

In queelius/masked.data: Estimating Reliability of Components in Series from Masked Data with Relaxed Candidate Set Models

Maximum likelihood estimator for Weibull series in which each component (or competing risk) is parameterized by a shape and scale parameter (k and lambda).

Description

The sample (at least approximately) satisfy competing risks conditions C1, C2, and C3 and its system failure time data may be right censored.

Usage

md_mle_weibull_series_C1_C2_C3(md, theta0, control = list(), ...)

Arguments

md	right-censored masked data
theta0	initial value for the MLE
control	list of control parameters eps convergence tolerance (default is 1e-6) keep_obs logical, keep observations if TRUE maxit integer, maximum number of iterations compute_converged logical, whether to compute convergence info
...	pass additional arguments to control

Value

MLE of type md_mle_weibull_series_C1_C2_C3

queelius/masked.data documentation built on Jan. 28, 2025, 4:23 a.m.