Using a CSV, LaTeX and R to easily build attractive resumes.

Permite obtener rápidamente una serie de medidas de resumen y gráficos para datos numéricos discretos o continuos en series simples. También permite obtener tablas de frecuencia clásicas y gráficos cuando se desea realizar un análisis de series agrupadas. Su objetivo es de aplicación didáctica para un curso introductorio de Bioestadística  utilizando el software R, para las carreras de grado las carreras de grado y otras ofertas educativas de la Facultad de Ciencias Agrarias de la UNJu / It generates summary measures and graphs for discrete or continuous numerical data in simple series. It also enables the creation of classic frequency tables and graphs when analyzing grouped series. Its purpose is for educational application in an introductory Biostatistics course using the R software, aimed at undergraduate programs and other educational offerings of the Faculty of Agricultural Sciences at the National University of Jujuy (UNJu).

Prediction of claim counts using the feature based development factors introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023) <doi:10.48550/arXiv.2312.14549>. 
             Implementation of Neural Networks, Extreme Gradient Boosting, 
             and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.

Implements the regularized exponentially tilted empirical 
    likelihood method. Details of the method are given in Kim, MacEachern, and 
    Peruggia (2023) <doi:10.48550/arXiv.2312.17015>. This work was supported by 
    the U.S. National Science Foundation under Grants No. SES-1921523 and 
    DMS-2015552.

Creates transition tables, summaries, and interactive Sankey
    diagrams from longitudinal person-term-state data. Sankey diagrams
    visualize flows between states with link widths proportional to flow
    counts; see Kennedy and Sankey (1898) "The Thermal Efficiency of Steam
    Engines" <doi:10.1680/imotp.1898.19100> and Schmidt (2008) "The
    Sankey Diagram in Energy and Material Flow Management: Part I: History"
    <doi:10.1111/j.1530-9290.2008.00004.x>. The minimum input schema is one
    row per person per term with an identifier, term, and categorical state.