Package: idionomics
Title: Conduct Idionomic Analyses for Time Series Modeling
Version: 0.1.0
Authors@R: 
   c(
    person("Cristóbal", "Hernández", email = "cristobal.ehc@gmail.com", role = c("cre","aut")),
    person("Joseph", "Ciarrochi", email = "ciarrochij@gmail.com", role = "aut"),
    person("Steven", "Hayes", email = "stevenchayes@gmail.com", role = "aut"),
    person("Baljinder", "Sahdra", email = "baljinder.sahdra@acu.edu.au", role = "aut"))
Description: A toolkit for idionomic science, a research philosophy that places
    the unit of the ensemble (individual/couple/group) at the center of analysis.
    Rather than assuming a common distribution, a similar enough process for each
    unit, and fitting a single model to the whole ensemble, idionomic methods model
    each unit separately, then aggregate upward if sensible. The group-level picture
    emerges from individual results, not the other way around, while explicitly
    evaluating whether aggregation is reasonable given the measured level of
    heterogeneity of effects. The package is built around intensive longitudinal
    data where each participant contributes a time series. It provides a pipeline
    from preprocessing through modeling to group-level summaries. Current functions:
    data quality screening (i_screener()), within-person standardization
    (pmstandardize()), linear detrending (i_detrender()), per-subject
    ARIMAX (AutoRegressive Integrated Moving Average with eXogenous inputs)
    modeling and meta-analysis (iarimax()), individual p-values (i_pval()),
    Sign Divergence and Equisyncratic Null tests (sden_test()), and directed
    loop detection (looping_machine()). Methods are described in
    Hernandez et al. (2024) <doi:10.1007/978-3-030-77644-2_136-1>,
    Ciarrochi et al. (2024) <doi:10.1007/s10608-024-10486-w>, and
    Sahdra et al. (2024) <doi:10.1016/j.jcbs.2024.100728>.
URL: https://github.com/cristobalehc/idionomics
BugReports: https://github.com/cristobalehc/idionomics/issues
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: broom, dplyr, forcats, forecast, ggplot2, metafor, rlang,
        stats, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-04-16 13:29:05 UTC; cristobalhernandez
Author: Cristóbal Hernández [cre, aut],
  Joseph Ciarrochi [aut],
  Steven Hayes [aut],
  Baljinder Sahdra [aut]
Maintainer: Cristóbal Hernández <cristobal.ehc@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:42:18 UTC
Built: R 4.5.2; ; 2026-04-21 19:19:25 UTC; unix
