cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "skdr-eval: Offline Policy Evaluation for Service-Time Minimization"
version: "0.1.0"
date-released: "2024-08-12"
url: "https://github.com/dandrsantos/skdr-eval"
repository-code: "https://github.com/dandrsantos/skdr-eval"
license: MIT
authors:
  - family-names: "Santos"
    given-names: "Diogo"
    email: "diogofcul@gmail.com"
    orcid: "https://orcid.org/0000-0000-0000-0000"
keywords:
  - "offline evaluation"
  - "doubly robust"
  - "bandits"
  - "causal inference"
  - "policy evaluation"
abstract: >-
  A Python library for offline policy evaluation using Doubly Robust (DR) and
  Stabilized Doubly Robust (SNDR) estimators with time-aware splits and calibration
  for service-time minimization problems.
