Update the maintainer information #6
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Pull request overview
Updates package maintainer metadata and records the change as a new release entry.
Changes:
- Updated the maintainer email in
DESCRIPTION. - Bumped package version/date to
1.1.3/2026-01-22. - Added a corresponding
1.1.3entry toNEWS.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
NEWS |
Adds a new 1.1.3 changelog entry documenting the maintainer email update. |
DESCRIPTION |
Updates maintainer email and aligns Version/Date with the new release entry. |
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Collaborator
Author
|
I think the R-CMD Check is not working properly. I have run |
Contributor
|
@maotian06 I've merged #5. Can you update the branch and that should fix the issue, I think? |
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Checklist
This PR does NOT contain Protected Health Information (PHI). A repo may need to be deleted if such data is uploaded.
Disclosing PHI is a major problem1 - Even a small leak can be costly2.
This PR does NOT contain germline genetic data3, RNA-Seq, DNA methylation, microbiome or other molecular data4.
.png, .jpeg),.pdf,.RData,.xlsx,.doc,.ppt, or other output files.To automatically exclude such files using a .gitignore file, see here for example.
I have read the code review guidelines and the code review best practice on GitHub check-list.
I have set up or verified the
mainbranch protection rule following the github standards before opening this pull request.The name of the branch is meaningful and well formatted following the standards, using [AD_username (or 5 letters of AD if AD is too long)]-[brief_description_of_branch].
I have added the major changes included in this pull request to the
CHANGELOG.mdunder the next release version or unreleased, and updated the date.Footnotes
UCLA Health reaches $7.5m settlement over 2015 breach of 4.5m patient records ↩
The average healthcare data breach costs $2.2 million, despite the majority of breaches releasing fewer than 500 records. ↩
Genetic information is considered PHI.
Forensic assays can identify patients with as few as 21 SNPs ↩
RNA-Seq, DNA methylation, microbiome, or other molecular data can be used to predict genotypes (PHI) and reveal a patient's identity. ↩