DESCRIPTION

Package: npthreshold
LazyLoad: yes
Version: 2024.2-7
Title: Nonparametric estimation of the causal effect of a stochastic threshold-based intervention
Authors@R: c(person("Lars", "van der Laan", role = "cre", email = "lvdlaan@uw.edu"), person("Youyi", "Fong", role = "aut", email = "yfong@fhcrc.org"), person("Peter", "Gilbert", role = "aut", email = "pgilbert@fredhutch.org"))
Depends: R (>= 3.6), kyotil, sl3, SuperLearner, data.table, mvtnorm
Imports: methods, survival, assertthat
Suggests: RUnit
Description: Implements a nonparametric efficient estimator for the covariate-adjusted threshold-response function for the case of informative outcome missingness, which utilizes machine learning and targeted minimum-loss estimation (TMLE), as described in van der Laan, Zhang, and Gilbert (2023) <DOI:10.1111/biom.13690>
License: GPL (>= 2)