domir 0.3.2

bug fixes

removing reference to dominanceanalysis package not on CRAN currently given request from CRAN maintainers and CRAN note.

fixing error in email address in domir-package leading to CRAN check warnings.

conditional logical argument to make computing conditional dominance statistics optional
initial working version of summary.domin
- method for computing the strongest dominance designations between independent variables
- update to print.domin to display strongest dominance designations
reorganization and update to Conceptual Introduction to Dominance Analysis vignette

looping used to construct many dominance statistics, replaced with matrix-based methods; intended to simplify and expedite computations

consmodel argument to adjust for baseline fit statistic values
reverse argument to change rank and complete dominance interpretation for fit metrics that decrease with better fit
Conceptual Introduction to Dominance Analysis vignette added

implemented unit testing framework - covers 82% of domin
internal use of reformulate to construct formulas as opposed to paste-ing +-es

Complete_Dominance computation producing inconsistent complete dominance designations - within-order complete dominance checks not capturing all possible model comparisons

update to format of Complete_Dominance from integers to logicals
output and warnings no longer suppressed by default - user must silence noisy functions
minimum of two terms/sets to run domin (replicates behavior of Stata version)
additional checks (response in formula/orders in formula)
names of entries in domin object changed to syntactic R names when not. Affects entries in:
- Complete_Dominance matrix
- Conditional_Dominance matrix ## internal
extensive re-write of computation methods
pre-allocates container objects to improve performance
increased functional-ization of subroutines and overall code readability
many internal functions re-named

returned value .$Subset_Details$Full_Model now includes variables in all
Complete_Dominance matrix computation
- Too many models considered for complete dominance - inconsistent with standard dominance analysis methodology
- Fixed error in suppressing complete dominance (i.e., complete = FALSE) resulted in error

Ensemble_Coordinator that submitted factor #’s instead of text in R versions < 4