Bug fix to avoid archive when dependencies are updated.
- corrects mismatched chunk delimiters in documentation
Resolves: yihui/knitr#2057 yihui/knitr#2306
Minor update to pass CRAN checks
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removed deprecated method to create sparse matrices
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correct links in citations and vignettes
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migrates bug fixes to conda environment and limit on total cells to refactored package
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allows calling igraph::community_leiden for supported parameters (requires igraph v1.2.7 or later)
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automatically calls native R version of leiden rather than Python to improve performance
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updates vignettes and unit tests to ensure consistent results with past versions
- migrates changes to retain on CRAN to leiden 0.4.0 (alpha)
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migrate to calling community_leiden in igraph
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updates the benchmarking vignette to compare performance to legacy versions using reticulate
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removes limitation on number of cells (disables scientific notation within function call): resolves #12
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resolves conflict between base and r-reticulate conda environments on loading: resolves #20
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updates conda environment in interactive sessions only for compliance to CRAN checks
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resolves formatting error in Rmarkdown vignettes (yihui/knitr#2057)
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update testing for bipartite graphs for compatibility with newer version
Updates maintainer contact details.
- bug fixes for vignettes to retain on CRAN
- remove cairo graphics from vignette to retain on CRAN
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add methods for multiplex community detection from a list of graphs (requires leidenalg 0.7.1)
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add support for maximum community size (depends on leidenalg 0.8.2), if available
- background changes to build vignettes on CRAN
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add support for bipartite graphs (requires leidenalg 0.6.1 or later)
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changes to install python leidenalg from vtraag channel on Windows
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bug fixes to install documentation
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improve automated conda configuration in background on loading library
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optionally derive edge weights from the Laplacian matrix
- bug fixes for documentation in response to changes to R
see development version: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16223
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added support for passing weighted igraph objects
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improved handling of sparse matrices
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bug fixes to ensure same results from matrix and igraph methods
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method for sparse matrices that passes to igraph without casting to dense
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added seed and n_iterations to find_partitions
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Implements calling leiden directly on an igraph object
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Separate methods for igraph objects and adjacency matrices
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Support for sparse matrices
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Benchmarking added to vignettes
- Adds passing weighted adjacency matrices to derive weight parameters
- Changes to ensure compatibility with CRAN. Updates to vignettes and documentation.
- Enable passing arguments to Python functions: initial_membership, weights, and node_sizes.
- 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).
- Removes dependancy on igraph R package and avoids writing to disk (compatible with CRAN). Passes adjacency matrix directly to python as a numpy array.
- Implements the Leiden algorithm in R by calling the leidenalg python library. Runs ModularityVertexPartition with defaults.