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# CITATION.cff 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 "sportsfeatures" in publications use:'
type: software
license: MIT
title: 'sportsfeatures: Longitudinal Sports Analytics Asset and Workload Feature Processing'
version: 0.1.0
abstract: A synthetic, longitudinal athletic dataset generated through a transparent,
  rule-based simulation engine. Captures individual activity sessions across multiple
  athletes, environmental conditions, and physiological responses. Specifically designed
  as an alternative to legacy teaching datasets by introducing realistic hierarchical
  repeated measures, complex two-way covariate interactions, and a deliberate Missing
  Not At Random (MNAR) tracking mechanism suitable for advanced imputation workflows.
  Methodologies implemented are based on van Buuren (2018) <https://doi.org/10.1201/9780429492259>
  and Bates et al. (2015) <https://doi.org/10.18637/jss.v067.i01>.
authors:
- family-names: Abbas
  given-names: Mohammad
  email: ma.abbas3107@gmail.com
repository: https://cran.r-universe.dev
commit: 504f7d775d0f21e44deb4da5962d91f8379adcd4
date-released: '2026-06-30'
contact:
- family-names: Abbas
  given-names: Mohammad
  email: ma.abbas3107@gmail.com