idionomics: Conduct Idionomic Analyses for Time Series Modeling
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>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
broom, dplyr, forcats, forecast, ggplot2, metafor, rlang, stats, tibble, tidyr |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.2.0) |
| Published: |
2026-04-21 |
| DOI: |
10.32614/CRAN.package.idionomics (may not be active yet) |
| Author: |
Cristóbal Hernández [cre, aut],
Joseph Ciarrochi [aut],
Steven Hayes [aut],
Baljinder Sahdra [aut] |
| Maintainer: |
Cristóbal Hernández <cristobal.ehc at gmail.com> |
| BugReports: |
https://github.com/cristobalehc/idionomics/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/cristobalehc/idionomics |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
idionomics results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=idionomics
to link to this page.