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1 change: 0 additions & 1 deletion .github/pull_request_template.md
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- Documentation
- [ ] DESCRIPTION file version is bumped by the appropriate increment (major, minor, patch)
- [ ] Date in DESCRIPTION is correct
- [ ] Longer functions are commented inline or broken down into helper functions to help debugging
- PR form
- [ ] Title indicates expected version number
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: netrics
Title: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties
Version: 0.3.0
Version: 0.3.1
Description: Many tools for calculating network, node, or tie
marks, measures, motifs and memberships of many different types of networks.
Marks identify structural positions, measures quantify network properties,
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LazyData: true
Depends:
R (>= 4.1.0),
manynet (>= 2.0.0)
manynet (>= 2.1.2)
Imports:
dplyr,
igraph (>= 2.1.0)
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6 changes: 6 additions & 0 deletions NEWS.md
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# netrics 0.3.1

## Package

- Updated manynet dependency to 2.1.2 to fix reverse dependency issue

# netrics 0.3.0

## Package
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10 changes: 5 additions & 5 deletions cran-comments.md
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## Test environments

* local R installation, aarch64-apple-darwin20, R 4.5.2
* macOS 15.7.4 (on Github), R 4.5.2
* Microsoft Windows Server 2025 10.0.26100 (on Github), R 4.5.2
* Ubuntu 24.04.3 (on Github), R 4.5.2
* local R installation, aarch64-apple-darwin23, R 4.6.0
* macOS 15.7.7 (on Github), R 4.6.0
* Microsoft Windows Server 2025 10.0.26100 (on Github), R 4.6.0
* Ubuntu 24.04.4 (on Github), R 4.6.0

## R CMD check results

0 errors | 0 warnings | 0 notes

- Fixed reverse dependency issue
- Updated manynet dependency to 0.3.1 to fix reverse dependency issue
2 changes: 1 addition & 1 deletion inst/tutorials/tutorial5/position.Rmd
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<img src="https://i.giphy.com/media/v1.Y2lkPTc5MGI3NjExMTVtNTJqZmFsdmFpOGRjd24zeHZ1NTM0bDhxbWxrMWdja202NXo1eSZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/fL1EXX8pQs0dd9zqLR/giphy.gif" alt="gif of rick and morty characters hanging out with themselves"/>

For this session, we're going to use the "ison_algebra" dataset included in the `{netrics}` package.
For this session, we're going to use the "ison_algebra" dataset included in the `{manynet}` package.
Do you remember how to call the data?
Can you find out some more information about it via its help file?

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