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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "tmle3mopttx" in publications use:'
type: software
license: GPL-3.0-only
title: 'tmle3mopttx: Targeted Maximum Likelihood Estimation of the Mean under Optimal
  Individualized Treatment'
version: 1.0.0
abstract: This package estimates the optimal individualized treatment rule for the
  categorical treatment using Super Learner (sl3). In order to avoid nested cross-validation,
  it uses split-specific estimates of Q and g to estimate the rule as described by
  Coyle et al. In addition, it provides the Targeted Maximum Likelihood estimates
  of the mean performance using CV-TMLE under such estimated rules. This is an adapter
  package for use with the tmle3 framework and the tlverse software ecosystem for
  Targeted Learning.
authors:
- family-names: Malenica
  given-names: Ivana
  email: imalenica@berkeley.edu
  orcid: https://orcid.org/0000-0002-7404-8088
- family-names: Coyle
  given-names: Jeremy
  email: jeremy.coyle@gmail.com
  orcid: https://orcid.org/0000-0002-9874-6649
- family-names: Laan
  given-names: Mark
  name-particle: van der
  email: laan@berkeley.edu
repository: https://tlverse.r-universe.dev
repository-code: https://github.com/tlverse/tmle3mopttx
commit: 3c0e8437af88ca8c54fcec1e953652feaf6c9003
url: https://tlverse.org/tmle3mopttx
contact:
- family-names: Malenica
  given-names: Ivana
  email: imalenica@berkeley.edu
  orcid: https://orcid.org/0000-0002-7404-8088