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Initial CRAN release.
iarimax() — per-subject ARIMAX fitting via
forecast::auto.arima() followed by random-effects
meta-analysis via metafor::rma(). Supports multi-predictor
models, optional fixed_d for cross-subject comparability,
and keep_models for retaining raw model objects.i_screener() — pre-pipeline data quality screening
on raw data. Three criteria: minimum observations
(min_n_subject), minimum within-person SD
(min_sd), and maximum modal response proportion
(max_mode_pct). Supports "filter",
"flag", and "report" output modes.
pmstandardize() — within-person z-scoring
(person-mean centering and person-SD scaling).
i_detrender() — within-person linear detrending via
lm(col ~ timevar). Per-column filtering with pre- and
post-detrend variance guards.
i_pval() — per-subject p-values using the two-tailed
t-distribution with ML-based degrees of freedom
(n_valid - n_params).
sden_test() — Sign Divergence Test (SDT) and
Equisyncratic Null Test (ENT) with automatic selection based on the
pooled REMA p-value.
looping_machine() — directed loop detection across
three variables. Fits three iarimax() legs, applies
i_pval(), and computes
Loop_positive_directed.summary.iarimax_results() — subject counts,
direction/significance counts, REMA estimates, and heterogeneity
statistics.
plot.iarimax_results() — caterpillar plot with
per-subject confidence intervals and REMA band overlay.
summary.sden_results() — test type, hypothesis, and
binomial test results.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.