Akaike weights based bandwidth CIs #81
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Ziqi-Li
requested review from
TaylorOshan and
ljwolf
and removed request for
TaylorOshan
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Adding bandwidth CIs computed based on Akaike weights. See Li et al. 2020 for details.
Function
get_bws_intervals(self, selector, level=0.95)is added toGWRResultsandMGWRResultsrespectively, which takes two parameters, the selector and a confidence level.Adding one test case for this function based on the Georgia data.
Some minor changes to the
search.pyto allow the selector to store the bandwidth search history.Adding the citation to the mgwr software paper in readme.