scale_est: Return an estimator on a different scale
In bdwilliamson/nova: Perform Inference on Algorithm-Agnostic Variable Importance
scale_est R Documentation
Return an estimator on a different scale
Description
Return an estimator on a different scale
Usage
scale_est(obs_est = NULL, grad = NULL, scale = "identity")
Arguments
obs_est
the observed VIM estimate
grad
the estimated efficient influence function
scale
the scale to compute on
Details
It may be of interest to return an estimate (or confidence interval)
on a different scale than originally measured. For example, computing a
confidence interval (CI) for a VIM value that lies in (0,1) on the logit scale
ensures that the CI also lies in (0, 1).
Value
the scaled estimate
bdwilliamson/nova documentation built on Feb. 1, 2024, 10:04 p.m.
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| scale_est | R Documentation |
Return an estimator on a different scale
Description
Return an estimator on a different scale
Usage
scale_est(obs_est = NULL, grad = NULL, scale = "identity")
Arguments
obs_est |
the observed VIM estimate |
grad |
the estimated efficient influence function |
scale |
the scale to compute on |
Details
It may be of interest to return an estimate (or confidence interval) on a different scale than originally measured. For example, computing a confidence interval (CI) for a VIM value that lies in (0,1) on the logit scale ensures that the CI also lies in (0, 1).
Value
the scaled estimate
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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