dyadMLM 0.1.0
- Initial release.
- Cleaned up the pre-release public API with these direct migration
mappings:
group to dyad,
lag_predictors to lag1_predictors,
model_type to model_types,
temporal_predictor_decomposition to
temporal_decomposition, "time_2l" to
"2l", include_compositions to
keep_compositions, compare_dyad_models() to
compare_nested_glmmTMB_models(),
exchangeable_rescov() to
recover_exchangeable_covariance(), pairs to
block_pairings, pairing fields shared and
difference to shared_block and
difference_block, and print argument what to
representation.
- Renamed generated exchangeable-member contrasts from
.dy_diff_{composition}_arbitrary to
.dy_member_contrast_{composition}_arbitrary. Covariance
recovery continues to recognize legacy contrast names in previously
fitted models.
- Renamed the package from
interdep to
dyadMLM; package-generated columns now use the
.dy_ prefix instead of .i_.
- Added validation and preparation of cross-sectional and intensive
longitudinal dyadic data with distinguishable, exchangeable, and mixed
dyad compositions.
- Added composition filtering, exchangeability overrides, and
pooling.
- Exchangeable-dyad difference columns now use an
_arbitrary suffix.
- Added temporal predictor decomposition and model-ready columns for
APIM, DIM, and DSM parameterizations.
- Added
compare_nested_glmmTMB_models() for compatible
nested glmmTMB models and
recover_exchangeable_covariance() for back-transforming
shared/difference random-effect covariance structures.
- Added example datasets, getting-started and model-specific
vignettes, and a concise print method for prepared data.