NEWS

RESI 1.3.2 (2025-07-29)

Added RESI estimation for emmeans objects
Added support for glmgee models from glmtoolbox
Added support for Gaussian models from glmmTMB
Added pdf vignette (vignette("RESI_paper"))
Fixed bug with geeglm objects not assigning weights properly with missing data
Documentation fix for Linux systems

Added citation for Journal of Statistical Software paper doi:10.18637/jss.v112.i03
Bug fix in cluster bootstrapping: Now correctly assigns the clustered IDs in the bootstrap
Minor documentation updates

Implemented boot package for bootstrapping
- boot.results element of resi object contains full boot object
- Allows parallelization
Updated geeglm/gee methods
Revamped plot.resi function
Added ggplot methods
Added omnibus function to extract overall Wald test from resi object
Combined t2S and t2S_alt into t2S and z2S and z2S_alt into z2S
Substantially reduced code duplication between methods
Expanded error checking and messaging
Fixed error in resi when using a model with only one predictor
Various typo fixes and cleaned up documentation

Expanded longitudinal methods
- gee and geeglm reporting valid confidence intervals
- gee and geeglm report both a longitudinal RESI estimate and a cross-sectional RESI estimate
- lme and lmerMod reports point estimates for longitudinal RESI only (confidence intervals in development)
- anova option added for geeglm, lme, and lmerMod
- Updated bootstrap sampling to ensure the correct number of clusters
Error in f2S and t2S_alt formula corrected (denominator is now n instead of the residual degrees of freedom)
Added bootstrap fail counter on resi for nls and geeglm model types
Changed class of summary on a resi object to summary_resi for consistency
Small typos and inconsistencies fixed