Collection of functions for fast manipulation, handling, and analysis of large-scale
    networks based on family and social data. Functions are utility functions used to manipulate data
    in three "formats": sparse adjacency matrices, pedigree trio family data, and pedigree family data.
    When possible, the functions should be able to handle millions of data points quickly for use in combination
    with data from large public national registers and databases.
    Kenneth Lange (2003, ISBN:978-8181281135).

Linear regression model and generalized linear models with nonparametric network effects on network-linked observations. The model is originally proposed by Le and Li (2022) <doi:10.48550/arXiv.2007.00803> and is assumed on observations that are connected by a network or similar relational data structure. A more recent work by Wang, Le and Li (2024) <doi:10.48550/arXiv.2410.01163> further extends the framework to generalized linear models. All these models are implemented in the current package. The model does not assume that the relational data or network structure to be precisely observed; thus, the method is provably robust to a certain level of perturbation of the network structure. The package contains the estimation and inference function for the model.

Implements some risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity.

Provides a variety of Network Scale-up Models for researchers to 
    analyze Aggregated Relational Data, through the use of Stan and 'glmmTMB'.
    Also provides tools for model checking
    In this version, the package implements models from 
    Laga, I., Bao, L., and Niu, X (2023) <doi:10.1080/01621459.2023.2165929>,
    Zheng, T., Salganik, M. J., and Gelman, A. (2006) <doi:10.1198/016214505000001168>,
    Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A., 
    and Bernard, H. R. (1998) <doi:10.1016/S0378-8733(96)00305-X>, and 
    Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and 
    Johnsen, E. C. (1998) <doi:10.1177/0193841X9802200205>.