High-Performance Open-Source Archive
options(nmar.bootstrap_apply = "auto"|"base"|"future").
Default bootstrap behavior (nmar.bootstrap_apply = "auto")
uses base::lapply() unless the current future plan has more
than one worker; if so, it uses
future.apply::future_lapply(future.seed = TRUE) when
available.Inf, -Inf) in covariates (and non-finite
observed outcomes).return roxygen keyword in S3 Functionsel_engine() implementing the estimator of Qin, Leung, and
Shao (2002). This method uses empirical likelihood weights satisfying
response mechanism equations and auxiliary moment constraints.exptilt_engine) and aggregated contingency
tables (exptilt_nonparam_engine) based on Riddles, Kim, and
Im (2016).nmar() interface supporting standard
formula syntax (e.g., Y ~ X | Z).survey package. nmar() accepts
survey.design objects, automatically handling weights and
stratification.exptilt
and el engines share a unified structural design, ensuring
consistent behavior for controls, standardization, and error
handling.standardize = TRUE argument to engines to improve numerical
stability during optimization.
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