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v1.4.0 #295
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…s to Toshitaka Izumi for spotting this
…rger nodes and ties
…he largest independent set
…ithout the diagonal and including reciprocated ties
…mode of two-mode networks
…instead of stats::cor()
…clares how many groups before reporting the vectors
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #295 +/- ##
==========================================
- Coverage 50.76% 49.46% -1.31%
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Files 25 27 +2
Lines 2147 2347 +200
==========================================
+ Hits 1090 1161 +71
- Misses 1057 1186 +129 ☔ View full report in Codecov by Sentry. |
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Thank you for all the work @jhollway , the new logo looks great!
…enerate_random() instead of the original object, which is processed more intuitively within manynet::generate_random() (thanks @RWKrause)
…orm graphs, not size
…through the tutorial more straightforward
… that it includes best practice in terms of specification
Description
2024-05-23
Package
Measures
mutate()
without specifying.data
Members
mutate()
without specifying.data
node_member
class is now categoricalmake_node_member()
now converts numeric results to LETTER character resultsprint.node_member()
now works with categorical membership vectorsprint.node_member()
now declares how many groups before reporting the vectorsnode_constraint()
to work with weighted two-mode networks, thanks to Toshitaka Izumi for spotting thisnetwork_independence()
for calculating the number of nodes in the largest independent setMotifs
node_tie_census()
now works on longitudinal network datato_correlation()
for calculating the Pearson correlationprint.node_motif()
wasn't printing the requested number of linesModels
cluster_concor()
cluster_concor()
now usesto_correlation()
for initial correlationstats::cor()
for subsequent iterationscluster_concor()
handles unlabelled networkscluster_concor()
handles two-mode networkscluster_concor()
cutoff resulted in unsplit groupscluster_hierarchical()
now also usesto_correlation()
Checklist: