File: NEWS.md

package info (click to toggle)
r-cran-leiden 0.3.7+dfsg-1
  • links: PTS, VCS
  • area: main
  • in suites: bullseye, sid
  • size: 508 kB
  • sloc: sh: 20; makefile: 2
file content (80 lines) | stat: -rw-r--r-- 2,212 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
# leiden 0.3.7

* remove cairo graphics from vignette to retain on CRAN

# leiden 0.3.6

* add methods for multiplex community detection from a list of graphs (requires leidenalg 0.7.1)

* add support for maximum community size (depends on leidenalg 0.8.2), if available

# leiden 0.3.5

* background changes to build vignettes on CRAN

# leiden 0.3.4

* add support for bipartite graphs (requires leidenalg 0.6.1 or later)

* changes to install python leidenalg from vtraag channel on Windows

* bug fixes to install documentation

* improve automated conda configuration in background on loading library

* optionally derive edge weights from the Laplacian matrix

# leiden 0.3.3

* bug fixes for documentation in response to changes to R

see development version: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16223

# leiden 0.3.2

* added support for passing weighted igraph objects

* improved handling of sparse matrices

* bug fixes to ensure same results from matrix and igraph methods

# leiden 0.3.1

* method for sparse matrices that passes to igraph without casting to dense

* added seed and n_iterations to find_partitions

# leiden 0.3.0

* Implements calling leiden directly on an igraph object

* Separate methods for igraph objects and adjacency matrices

* Support for sparse matrices

* Benchmarking added to vignettes

# leiden 0.2.3

* Adds passing weighted adjacency matrices to derive weight parameters

# leiden 0.2.2

* Changes to ensure compatibility with CRAN. Updates to vignettes and documentation.

# leiden 0.2.1

* Enable passing arguments to Python functions: initial_membership, weights, and
node_sizes.

# leiden 0.2.0

* Adds passing arguments to the Python implementation: the partition_type and resolution_parameter. Runs the RBConfigurationVertexPartition by default (which is equivalent to ModularityVertexPartition with a resolution_parameter of 1).

# leiden 0.1.1

* Removes dependancy on igraph R package and avoids writing to disk (compatible with CRAN). Passes adjacency matrix directly to python as a numpy array.

# leiden 0.1.0

* Implements the Leiden algorithm in R by calling the leidenalg python library. Runs ModularityVertexPartition with defaults.