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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.
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.
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