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: 2026-06-24 19:39:55 UTC; abbasxma
Author: Mohammad Abbas [aut, cre]
Maintainer: Mohammad Abbas <ma.abbas3107@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-30 20:00:02 UTC
Built: R 4.4.3; ; 2026-07-01 00:25:50 UTC; unix
