Provides indices and tools for directed acyclic graphs (DAGs), particularly DAG representations of intermittent streams.  A detailed introduction to the package can be found in the publication: "Non-perennial stream networks as directed acyclic graphs: The R-package streamDAG" (Aho et al., 2023) <doi:10.1016/j.envsoft.2023.105775>, and in the introductory package vignette.

Implementation of analytical models for estimating streamflow 
    depletion due to groundwater pumping, and other related tools. Functions
    are broadly split into two groups: (1) analytical streamflow depletion
    models, which estimate streamflow depletion for a single stream reach
    resulting from groundwater pumping; and (2) depletion apportionment 
    equations, which distribute estimated streamflow depletion among multiple
    stream reaches within a stream network. See Zipper et al. (2018) <doi:10.1029/2018WR022707>
    for more information on depletion apportionment equations and Zipper et
    al. (2019) <doi:10.1029/2018WR024403> for more information on analytical
    depletion functions, which combine analytical models and depletion apportionment
    equations.

I provide functions to calculate Gross Primary Productivity, Net Ecosystem Production, and Ecosystem Respiration from single station diurnal Oxygen curves.

Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).

Functions to access Twitter's filter, sample, and user streams, and to
    parse the output into data frames.

Characterize daily stream discharge and water quality data
    and subsample water quality data. Provide dates, discharge, and water
    quality measurements and 'streamsampler' can find gaps, get summary
    statistics, and subsample according to common stream sampling protocols.
    Stream sampling protocols are described in Lee et al. (2016) <doi:10.1016/j.jhydrol.2016.08.059> 
    and Lee et al. (2019) <doi:10.3133/sir20195084>.