Package: exposureEM
Type: Package
Title: Combined-Exposure Models by EM and Marquardt Optimization
Version: 0.3.0
Authors@R: person("Wenjing", "Meng", role = c("aut", "cre"), email = "w2meng@ucsd.edu")
Description: Fits general two-component combined-exposure models for binary
    event histories when the event setting is not observed.
    The observed binary event is represented as the union of two latent
    component-specific binary events. Known exposure proportions enter as
    offsets. Parameters can be estimated by expectation-maximization, direct
    Marquardt-damped Newton-Raphson maximization of the observed likelihood, or
    a hybrid that uses several expectation-maximization iterations before
    direct optimization. Uncertainty is estimated with Louis' formula for the
    expectation-maximization estimator and the inverse observed Hessian for
    direct and hybrid fits. Complementary log-log, logit, and log component
    links are available for all three estimation methods.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 4.1.0)
Imports: stats, utils
NeedsCompilation: no
Packaged: 2026-09-11 07:17:45 UTC; anna
Author: Wenjing Meng [aut, cre]
Maintainer: Wenjing Meng <w2meng@ucsd.edu>
Repository: CRAN
Date/Publication: 2026-09-21 21:00:07 UTC
