Changes in version 0.4.3.1 (2023-11-17) Bug fix to avoid archive when dependencies are updated. - corrects mismatched chunk delimiters in documentation Resolves: https://github.com/yihui/knitr/issues/2057 https://github.com/yihui/knitr/pull/2306 Changes in version 0.4.3 (2022-09-10) Minor update to pass CRAN checks - removed deprecated method to create sparse matrices - correct links in citations and vignettes Changes in version 0.4.2 (2022-05-09) - migrates bug fixes to conda environment and limit on total cells to refactored package - allows calling igraph::community_leiden for supported parameters (requires igraph v1.2.7 or later) - automatically calls native R version of leiden rather than Python to improve performance - updates vignettes and unit tests to ensure consistent results with past versions Changes in version 0.4.1 - migrates changes to retain on CRAN to leiden 0.4.0 (alpha) Changes in version 0.4.0 - migrate to calling community_leiden in igraph - updates the benchmarking vignette to compare performance to legacy versions using reticulate Changes in version 0.3.10 (2022-04-27) - removes limitation on number of cells (disables scientific notation within function call): resolves #12 - resolves conflict between base and r-reticulate conda environments on loading: resolves #20 - updates conda environment in interactive sessions only for compliance to CRAN checks - resolves formatting error in Rmarkdown vignettes (https://github.com/yihui/knitr/issues/2057) - update testing for bipartite graphs for compatibility with newer version Changes in version 0.3.9 (2021-07-27) Updates maintainer contact details. Changes in version 0.3.8 (2021-05-24) - bug fixes for vignettes to retain on CRAN Changes in version 0.3.7 (2021-01-26) - remove cairo graphics from vignette to retain on CRAN Changes in version 0.3.6 (2020-12-07) - 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 Changes in version 0.3.5 (2020-11-09) - background changes to build vignettes on CRAN Changes in version 0.3.4 (2020-10-29) - 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 Changes in version 0.3.3 (2020-02-04) - bug fixes for documentation in response to changes to R see development version: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16223 Changes in version 0.3.2 (2020-01-18) - added support for passing weighted igraph objects - improved handling of sparse matrices - bug fixes to ensure same results from matrix and igraph methods Changes in version 0.3.1 (2019-07-23) - method for sparse matrices that passes to igraph without casting to dense - added seed and n_iterations to find_partitions Changes in version 0.3.0 (2019-07-15) - Implements calling leiden directly on an igraph object - Separate methods for igraph objects and adjacency matrices - Support for sparse matrices - Benchmarking added to vignettes Changes in version 0.2.3 (2019-02-11) - Adds passing weighted adjacency matrices to derive weight parameters Changes in version 0.2.2 - Changes to ensure compatibility with CRAN. Updates to vignettes and documentation. Changes in version 0.2.1 - Enable passing arguments to Python functions: initial_membership, weights, and node_sizes. Changes in version 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). Changes in version 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. Changes in version 0.1.0 - Implements the Leiden algorithm in R by calling the leidenalg python library. Runs ModularityVertexPartition with defaults.