Functions for the novel algorithm CASCORE, proposed to detect the latent community structure in graphs with node covariates. The models we can handle include covariate assisted degree corrected stochastic block model (CADCSBM). CASCORE allows for the disagreement between the community structure revealed in the adjacency information and the community structure revealed in the covariate information. More details are in the reference paper: Yaofang Hu and Wanjie Wang (2022) <arXiv:2208.00257>.
This package also includes other classical community detection algorithms that are compared to CASCORE in our paper, such as Spectral Clustering On Ratios-of Eigenvectors (SCORE), normalized PCA, ordinary PCA and covariate-assisted spectral clustering (CASC) and ADMM.

Detection of Statistically Significant Combinations of SNPs in
Association Mapping
c(
person("Felipe", "Llinares-López", role=c("aut", "cph")),
person("Laetitia", "Papaxanthos", role=c("aut", "cph")),
person("Damian", "Roqueiro", role=c("aut", "cph")),
person("Matthew", "Baker", role = c("ctr")),
person("Mikołaj", "Rybiński", role = c("ctr")),
person("Uwe", "Schmitt", role = c("ctr")),
person("Dean", "Bodenham", role=c("aut", "cre", "cph"), email="deanbodenhambsse@gmail.com"),
person("Karsten", "Borgwardt", role=c("aut", "fnd", "cph"))
)
A significant pattern mining-based toolbox for region-based genome-wide association studies and higher-order epistasis analyses, implementing the methods described in Llinares-López et al. (2017) <doi:10.1093/bioinformatics/btx071>.
Felipe Llinares-López [aut, cph],
Laetitia Papaxanthos [aut, cph],
Damian Roqueiro [aut, cph],
Matthew Baker [ctr],
Mikołaj Rybiński [ctr],
Uwe Schmitt [ctr],
Dean Bodenham [aut, cre, cph],
Karsten Borgwardt [aut, fnd, cph]

c(person("Jingyi (Catherine) Shi", "Developer", role = c("aut", "cre", "cph"), email = "jshi@math.msstate.edu"),
person("Jialin Zhang", "Dev", role = "ctb") )
Contains Coverage Adjusted Standardized Mutual Information ('CASMI')-based functions. 'CASMI' is a fundamental concept of a series of methods. For more information about 'CASMI' and 'CASMI'-related methods, please refer to the corresponding publications (for example, a feature selection method, Shi, J., Zhang, J., & Ge, Y. (2019) <doi:10.3390/e21121179>, and a dataset quality measurement method, Shi, J., Zhang, J., & Ge, Y. (2019) <doi:10.1109/ICHI.2019.8904553>) or contact the package author.
Jingyi (Catherine) Shi Developer [aut, cre, cph],
Jialin Zhang Dev [ctb]
Jingyi (Catherine) Shi Developer <jshi@math.msstate.edu>