causalgenerics: Shared Generics for the 'r-causal' Ecosystem
A home for the S3 generics shared across the 'r-causal'
ecosystem, including 'propensity', 'halfmoon', 'positively', and
'balancing'. Owning the generic definitions in one place lets those
packages register methods without masking one another when several are
attached at once. The generics cover inverse probability weighted
estimation, effective sample size, and the metadata carried by causal
weight vectors, and the package supplies the abstract causal weight
class and the result class those estimates are returned in, together
with the methods both classes carry, so that the ecosystem packages
inherit them rather than writing their own. The design follows that of
the 'generics' package, which provides commonly used S3 generics for
the same purpose: letting packages share a single definition instead
of each defining its own.
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