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Creates an epidist_marginal_model object from various input formats. This enables fitting marginal models for epidemiological delays using epidist(). The marginal model approach uses the likelihood from the primarycensored package to efficiently handle censoring in both primary and secondary events as well as truncation due to observation times. See the specific methods as_epidist_marginal_model.epidist_linelist_data() and as_epidist_marginal_model.epidist_aggregate_data() for details on supported input formats and usage examples.

Usage

as_epidist_marginal_model(data, ...)

Arguments

data

An object to be converted to the class epidist_marginal_model

...

Additional arguments passed to methods.