Provides function declarations and inline function definitions that
    facilitate cleaning strings in C++ code before passing them to R.

Simulate and run the Gaussian puff forward atmospheric
    model in sensor (specific sensor coordinates) or grid (across the
    grid of a full oil and gas operations site) modes, following Jia, M., 
    Fish, R., Daniels, W., Sprinkle, B. and Hammerling, D. (2024) 
    <doi:10.26434/chemrxiv-2023-hc95q-v3>. Numerous visualization options, 
    including static and animated, 2D and 3D, and a site map generator 
    based on sensor and source coordinates.

Parsimonious Ultrametric Gaussian Mixture Models via grouped coordinate ascent (equivalent to EM) algorithm characterized by the inspection of hierarchical relationships among variables via parsimonious extended ultrametric covariance structures. The methodologies are described in Cavicchia, Vichi, Zaccaria (2024) <doi:10.1007/s11222-024-10405-9>, (2022) <doi:10.1007/s11634-021-00488-x> and (2020) <doi:10.1007/s11634-020-00400-z>.

Efficient algorithm for solving PU (Positive and Unlabeled) problem in low or high dimensional setting with lasso or group lasso penalty. The algorithm uses Maximization-Minorization and (block) coordinate descent. Sparse calculation and parallel computing are supported for the computational speed-up. See Hyebin Song, Garvesh Raskutti (2018) <arXiv:1711.08129>.

R Interface to Pullword Service for natural language processing
    in Chinese. It enables users to extract valuable words from text by deep learning models. 
    For more details please visit the official site (in Chinese) <http://www.pullword.com/>.

Provides a comprehensive and curated collection of datasets related to the lungs, respiratory system, and associated diseases. 
    This package includes epidemiological, clinical, experimental, and simulated datasets on conditions such as lung cancer, asthma, 
    Chronic Obstructive Pulmonary Disease (COPD), tuberculosis, whooping cough, pneumonia, influenza, and other respiratory illnesses. 
    It is designed to support data exploration, statistical modeling, teaching, and research in pulmonary medicine, public health, 
    environmental epidemiology, and respiratory disease surveillance.