Package: sportsfeatures
Type: Package
Title: Longitudinal Sports Analytics Asset and Workload Feature
        Processing
Version: 0.1.0
Authors@R: person(
    given = "Mohammad",
    family = "Abbas",
    role = c("aut", "cre"),
    email = "ma.abbas3107@gmail.com"
  )
Description: 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)
        <doi:10.1201/9780429492259> and Bates et al. (2015)
        <doi:10.18637/jss.v067.i01>.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: tibble, mice, modelsummary, lme4
Suggests: tidyverse
Encoding: UTF-8
LazyData: true
Config/roxygen2/version: 8.0.0
Config/Needs/editorial: MNAR Buuren et al
NeedsCompilation: no
Packaged: 2026-06-30 21:37:26 UTC; root
Author: Mohammad Abbas [aut, cre]
Maintainer: Mohammad Abbas <ma.abbas3107@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-30 21:11:13 UTC
RemoteUrl: https://github.com/cran/sportsfeatures
RemoteRef: HEAD
RemoteSha: 504f7d775d0f21e44deb4da5962d91f8379adcd4