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Score method for wei_series_md_c1_c2_c3 model.

Source: R/wei_series_md_c1_c2_c3.R
score.wei_series_md_c1_c2_c3.Rd

Returns a score (gradient) function for a Weibull series system with respect to parameter vector (shape_1, scale_1, ..., shape_m, scale_m) for masked data with candidate sets that satisfy conditions C1, C2, and C3.

Usage

# S3 method for class 'wei_series_md_c1_c2_c3'
score(model, ...)

Arguments

model

the likelihood model object

...

additional arguments (passed to returned function)

Value

score function that takes the following arguments:

  • df: masked data frame

  • par: parameter vector (shape1, scale1, shape2, scale2, ...)

  • lifetime: system lifetime column name (default from model)

  • lifetime_upper: interval upper bound column name (default from model)

  • omega: observation type column name (default from model)

  • candset: prefix of Boolean matrix encoding candidate sets

Details

Uses a hybrid approach: analytical score for exact and right-censored observations, numerical gradient (via numDeriv) for left-censored and interval-censored observations.