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CommKern
View on CRAN: Click
here
Download and install CommKern package within the R console
Install from CRAN:
install.packages("CommKern")
Install from Github:
library("remotes")
install_github("cran/CommKern")
Install by package version:
library("remotes")
install_version("CommKern", "1.0.1")
Attach the package and use:
library("CommKern")
Maintained by
Alexandria Jensen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.CommKern . https://github.com/aljensen89/CommKern . CommKern results . CommKern.pdf . CommKern . CommKern_1.0.1.tar.gz . CommKern_1.0.1.zip . CommKern_1.0.1.zip . CommKern_1.0.1.zip . CommKern_1.0.1.tgz . CommKern_1.0.1.tgz . CommKern_1.0.1.tgz . CommKern_1.0.1.tgz . CommKern_1.0.1.tgz . CommKern_1.0.1.tgz . CommKern archive . https://CRAN.R-project.org/package=CommKern .
First Published: 2022-09-20
Latest Update: 2022-09-23
Description:
Analysis of network community objects with applications to neuroimaging data. There are two main components to this package. The first is the hierarchical multimodal spinglass (HMS) algorithm, which is a novel community detection algorithm specifically tailored to the unique issues within brain connectivity. The other is a suite of semiparametric kernel machine methods that allow for statistical inference to be performed to test for potential associations between these community structures and an outcome of interest (binary or continuous).
How to cite:
Alexandria Jensen (2022). CommKern: Network-Based Communities and Kernel Machine Methods. R package version 1.0.1, https://cran.r-project.org/web/packages/CommKern. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0.0 (2022-09-20 11:46)
Other packages that cited CommKern R package
View CommKern citation profile
Other R packages that CommKern depends,
imports, suggests or enhances
Complete documentation for CommKern
Functions, R codes and Examples using
the CommKern R package
Some associated functions: CommKern . NMI . SBM_net . adj_RI . community_allegiance . community_plot . compute_modularity_matrix . compute_multimodal_mod . consensus_similarity . count_pairs . degree . entropy . ext_distance . find_start_temp . get_weights . group_adj_perturb . group_network_perturb . ham_distance . heatbath_multimodal . hms . kernel . matrix_plot . matrix_to_df . purity . score_cont_nonparam . score_cont_semiparam . score_log_nonparam . score_log_semiparam . simasd_array . simasd_comm_df . simasd_covars . simasd_hamil_df . simnet_df_perturb . sort_pairs . subset_matrix_to_df . tr . up_low . zrand .
Some associated R codes: Adj_RI.R . CommKern.R . NMI.R . community_allegiance.R . community_plot.R . compute_mod_matrix.R . compute_multimodal_mod.R . consensus_similarity.R . count_pairs.R . datasets.R . degree.R . entropy.R . ext_distance.R . find_start_temp.R . get_weights.R . group_adj_perturb.R . group_network_perturb.R . ham_distance.R . heatbath_multimodal.R . hier_mult_spin.R . kernel.R . matrix_plot.R . matrix_to_df.R . purity.R . score_lin_nonparam.R . score_lin_semiparm.R . score_log_nonparam.R . score_log_semiparm.R . simnet_df_perturb.R . sort_pairs.R . subset_matrix_to_df.R . up_low.R . utilities.R . zrand.R . Full CommKern package functions and examples
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