Collection of ancillary functions and utilities for Partial Linear Single Index Models for Environmental mixture analyses, which currently provides functions for scalar, binary and count 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 ordinal, survival, and longitudinal outcomes, as well as models for time-dependent exposures. See Wang et al (2020)
Partial Linear Single-Index Model Families for Environmental Mixture Analysis
The current release (version 1.0.0) includes partial linear single-index models (PLSIMs) for continuous, binary, and count outcomes.