This extension of the pattern-oriented modeling framework of the 
    'poems' package provides a collection of modules and functions customized 
    for modeling disease transmission on a population scale in a spatiotemporally 
    explicit manner. This includes seasonal time steps, dispersal functions that 
    track disease state of dispersers, results objects that store disease states, 
    and a population simulator that includes disease dynamics.

Collection of ancillary functions and utilities for Partial Linear Single Index Models for Environmental mixture analyses, which currently provides functions for scalar outcomes. The outputs of these functions include the single index function, single index coefficients, partial linear coefficients, mixture overall effect, exposure main and interaction effects, and differences of quartile effects. In the future, we will add functions for binary, ordinal, Poisson, survival, and longitudinal outcomes, as well as models for time-dependent exposures. See Wang et al (2020) <doi:10.1186/s12940-020-00644-4> for an overview.

A rich toolkit of using the whole building
    simulation program 'EnergyPlus'(<https://energyplus.net>), which
    enables programmatic navigation, modification of 'EnergyPlus' models
    and makes it less painful to do parametric simulations and analysis.

Evaluate a function over a data frame of expressions.

Facilitates the aggregation of species' geographic ranges from vector or raster spatial data, and that enables the calculation of various morphological and phylogenetic community metrics across geography. Citation: Title, PO, DL Swiderski and ML Zelditch (2022) <doi:10.1111/2041-210X.13914>.

Analysis of items and persons in data. To identify and remove person misfit in polytomous
    item-response data using either 'mokken' or a graded response model (GRM, via 'mirt').
    Provides automatic thresholds, visual diagnostics (2D/3D), and export utilities. 
    Methods build on Mokken scaling as in Mokken (1971, ISBN:9789027968821) and on the
    graded response model of Samejima (1969) <doi:10.1007/BF03372160>.