Provides functions to download and work with the Bangladesh
    Environmental Mobility Panel (BEMP), a household panel survey tracing
    the impacts of riverbank erosion and flooding on (im)mobility,
    socio-economic outcomes, and political attitudes along the Jamuna River
    in Bangladesh (2021-2024). Wave datasets (20 files across 14 survey
    rounds) are hosted on Zenodo
    (<doi:10.5281/zenodo.18229497>) and downloaded on demand with
    local caching. Bundled data include a merged cross-wave codebook and
    wave metadata.

Tools to accurately benchmark and analyze execution times for
    R expressions.

Full implementation of the 28 distributions introduced as benchmarks for nonparametric density estimation by Berlinet and Devroye (1994) <https://hal.science/hal-03659919>. Includes densities, cdfs, quantile functions and generators for samples as well as additional information on features of the densities. Also contains the 4 histogram densities used in Rozenholc/Mildenberger/Gather (2010) <doi:10.1016/j.csda.2010.04.021>.

Methods for frontier
    analysis, Data Envelopment Analysis (DEA), under different
    technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+),
    and using different efficiency measures (input based, output based,
    hyperbolic graph, additive, super, and directional efficiency). Peers
    and slacks are available, partial price information can be included,
    and optimal cost, revenue and profit can be calculated. Evaluation of
    mergers is also supported.  Methods for graphing the technology sets
    are also included. There is also support for comparative methods based
    on Stochastic Frontier Analyses (SFA) and for convex nonparametric 
    least squares of convex functions (STONED). In general, the methods 
    can be used to solve not only standard models, but also many other 
    model variants. It complements the book, Bogetoft and Otto,
    Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of
    course also be used as a stand-alone package.