Estimating individual-level covariate-outcome associations 
 using aggregate data ("ecological inference") or a combination of 
 aggregate and individual-level data ("hierarchical related regression").

A toolbox for implementing the Ecological Dynamic Regime framework 
    (Sánchez-Pinillos et al., 2023 <doi:10.1002/ecm.1589>) to characterize and 
    compare groups of ecological trajectories in multidimensional spaces defined 
    by state variables. The package includes the RETRA-EDR algorithm to identify 
    representative trajectories, functions to generate, summarize, and visualize 
    representative trajectories, and several metrics to quantify the distribution 
    and heterogeneity of trajectories in an ecological dynamic regime and quantify 
    the dissimilarity between two or more ecological dynamic regimes. The package 
    also includes a set of functions to assess ecological resilience based on 
    ecological dynamic regimes (Sánchez-Pinillos et al., 2024 <doi:10.1016/j.biocon.2023.110409>).

Three sets of data and functions for informing ecosystem restoration
    decisions, particularly in the context of the U.S. Army Corps of Engineers.
    First, model parameters are compiled as a data set and associated metadata 
    for over 300 habitat suitability models developed by the U.S. Fish and 
    Wildlife Service (USFWS 1980, <https://www.fws.gov/policy-library/870fw1>).
    Second, functions for conducting habitat suitability analyses both for the 
    models described above as well as generic user-specified model parameterizations. 
    Third, a suite of decision support tools for conducting cost-effectiveness and 
    incremental cost analyses (Robinson et al. 1995, IWR Report 95-R-1, U.S. 
    Army Corps of Engineers).

Implementation of a modular framework for ecosystem risk assessments, 
    combining existing risk assessment approaches tailored to semi-quantitative and
    quantitative analyses.

API wrapper to download statistical information from the Economic
             Statistics System (ECOS) of the Bank of Korea
             <https://ecos.bok.or.kr/api/#/>.