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Score method for exp_series_md_c1_c2_c3 model.

Source: R/exp_series_md_c1_c2_c3.R
score.exp_series_md_c1_c2_c3.Rd

Returns a score (gradient) function for an exponential series system with respect to parameter theta for masked component failure with candidate sets that satisfy conditions C1, C2, and C3.

Usage

# S3 method for class 'exp_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: rate parameters of exponential component lifetime distributions

  • 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

All four observation types (exact, right, left, interval) have closed-form score contributions.