EPLSIM: Partial Linear Single Index Models for Environmental Mixture Analysis

Collection of ancillary functions and utilities for Partial Linear Single Index Models for Environmental mixture analyses, which currently provides functions for scalar outcomes. The outputs of these functions include the single index function, single index coefficients, partial linear coefficients, mixture overall effect, exposure main and interaction effects, and differences of quartile effects. In the future, we will add functions for binary, ordinal, Poisson, survival, and longitudinal outcomes, as well as models for time-dependent exposures. See Wang et al (2020) <doi:10.1186/s12940-020-00644-4> for an overview.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: splines, ggplot2, MASS, ciTools
Suggests: knitr, PerformanceAnalytics, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-03-08
Author: Yuyan Wang ORCID iD [aut, cre], Mengling Liu [aut, ctb]
Maintainer: Yuyan Wang <yuyan.wang at nyumc.org>
BugReports: https://github.com/YuyanWangSixTwo/EPLSIM/issues
License: MIT + file LICENSE
URL: https://github.com/YuyanWangSixTwo/EPLSIM
NeedsCompilation: no
Materials: README
CRAN checks: EPLSIM results

Documentation:

Reference manual: EPLSIM.pdf
Vignettes: An Introduction to EPLSIM Package

Downloads:

Package source: EPLSIM_0.1.0.tar.gz
Windows binaries: r-devel: EPLSIM_0.1.0.zip, r-release: EPLSIM_0.1.0.zip, r-oldrel: EPLSIM_0.1.0.zip
macOS binaries: r-release (arm64): EPLSIM_0.1.0.tgz, r-oldrel (arm64): EPLSIM_0.1.0.tgz, r-release (x86_64): EPLSIM_0.1.0.tgz

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