Provides functionality for estimating cross-sectional network structures representing partial correlations while accounting for missing data. Networks are estimated via neighborhood selection or regularization, with model selection guided by information criteria. Missing data can be handled primarily via multiple imputation or a maximum likelihood-based approach, as demonstrated by Nehler and Schultze (2025a) <doi:10.31234/osf.io/qpj35> and Nehler and Schultze (2025b) <doi:10.1080/00273171.2025.2503833>. Deletion-based approaches are also available but play a secondary role.

Generate interactive html reports that enable quick visual review of multiple related time series stored in a data frame. For static datasets, this can help to identify any temporal artefacts that may affect the validity of subsequent analyses. For live data feeds, regularly scheduled reports can help to pro-actively identify data feed problems or unexpected trends that may require action. The reports are self-contained and shareable without a web server.

A comprehensive framework for analyzing agricultural nutrient 
    balances across multiple spatial scales (county, 'HUC8', 'HUC2') with 
    integration of wastewater treatment plant ('WWTP') effluent loads for both 
    nitrogen and phosphorus. Supports classification of spatial units as 
    nutrient sources, sinks, or balanced areas based on agricultural surplus 
    and deficit calculations. Includes visualization tools, spatial transition 
    probability analysis, and nutrient flow network mapping. Built-in datasets 
    include agricultural nutrient balance data from the Nutrient Use Geographic 
    Information System ('NuGIS'; The Fertilizer Institute and Plant Nutrition 
    Canada, 1987-2016) <https://nugis.tfi.org/tabular_data/> and U.S. Environmental 
    Protection Agency ('EPA') wastewater discharge data from the 'ECHO' Discharge 
    Monitoring Report ('DMR') Loading Tool (2007-2016) 
    <https://echo.epa.gov/trends/loading-tool/water-pollution-search>. Data 
    are downloaded on demand from the Open Science Framework ('OSF') repository to
    minimize package size while maintaining full functionality. The integrated 
    'manureshed' framework methodology is described in Akanbi et al. (2025) 
    <doi:10.1016/j.resconrec.2025.108697>. Designed for 
    nutrient management planning, environmental analysis, and circular 
    economy research at watershed/administrative to national scales.  
    This material is based upon financial support by the National Science Foundation, 
    EEC Division of Engineering Education and Centers, 
    NSF Engineering Research Center for Advancing Sustainable and Distributed 
    Fertilizer Production (CASFER), NSF 20-553 Gen-4 Engineering Research Centers 
    award 2133576. We thank Dr. Robert D. Sabo (U.S. Environmental Protection Agency) 
    for his valuable contributions to the conceptual development and review of this work.