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weights() returns the row likelihood multipliers used by a fitted drmTMB model after model-row filtering. These weights multiply log-likelihood contributions. They are not known sampling variances or known sampling covariance; use meta_known_V() for that meta-analytic role.

Usage

# S3 method for class 'drmTMB'
weights(object, ...)

Arguments

object

A drmTMB fit.

...

Reserved for future extractor options.

Value

A numeric vector with one weight per modelled response row, or per complete response pair for bivariate Gaussian models.