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: 2026-09-22 10:01:04 UTC; root
Author: Wenjing Meng [aut, cre]
Maintainer: Wenjing Meng <w2meng@ucsd.edu>
Repository: https://w2meng.r-universe.dev
Date/Publication: 2026-09-21 21:00:07 UTC
RemoteUrl: https://github.com/cran/exposureEM
RemoteRef: HEAD
RemoteSha: 718e96be89e68d1ca161fdfe3c11ba420dc2bbb8