The data argument is removed from all three main
functions surr_rsq(), surr_rsq_ci(), and
surr_rsq_rank(). The dataset will be directly pulled our
from the full_model object.
The bug related to the bootstrapped data and the model updating
steps in surr_rsq_ci() have been fixed (#2, #3).
rsq() function is removed since it is no
needed.
It has “print()” for surr_rsq, but the print() or summary() functions are needed for surr_rsq_ci and surr_rsq_rank.
…
This package has four main functions: rsq, surr_rsq, surr_rsq_ci, and surr_rsq_rank.
surr_rsq() is a function for producing a point estimate of the surrogate R-squared for a user-specified model.
surr_rsq_ci() is a function for generating an interval measure of the surrogate R-squared with the designated confidence level.
surr_rsq_rank() is a function to produce a ranking of explanatory variables based on their contributions to the overall surrogate R-squared.
rsq() is a function to produce other pseudo R-squared measures in the literature.