Una herramienta rápida y consistente para la disposición de
    microdatos y la visualización de las cifras y estadísticas oficiales
    de la Universidad Nacional de Colombia <https://unal.edu.co>. Contiene
    una biblioteca de funciones gráficas, tanto estáticas como
    interactivas, que ofrece numerosos tipos de gráficos con una sintaxis
    altamente configurable y simple. Entre estos encontramos la
    visualización de tablas HTML, series, gráficos de barras y circulares,
    mapas, etc. Todo lo anterior apoyado en bibliotecas de JavaScript.
    English: A fast and consistent tool for the arrangement of microdata
    and the visualization of official figures and statistics from the
    National University of Colombia <https://unal.edu.co>. It includes a
    library of graphical functions, both static and interactive, offering
    numerous types of charts with a highly configurable and simple syntax.
    Among these, we find the visualization of HTML tables, series, bar and
    pie charts, maps, etc. It provides the capability to transition from
    the interactive to the dynamic world and from one library to another
    without changing function or syntax.

Top-down and bottom-up algorithms
        for nonparametric function estimation in Gaussian noise using
        Unbalanced Haar wavelets.

If a procedure consists of several stages and there are several models that can be selected for each stage,
	uncertainty of the procedure can be decomposed by stages or models.
	This package includes the ANOVA-based method, the cumulative uncertainty-based method, and the balanced decomposition method.
	Yongdai Kim et al. (2019) <doi:10.1016/j.hydroa.2019.100024> is a related paper which is accessible via the URL below.

Implements the Gaussian method of first and second order, the Kragten numerical method and the Monte Carlo simulation method for uncertainty estimation and analysis.

Provides functions for estimating uncertainty in the number of fatalities in the Uppsala Conflict Data Program (UCDP) data. The package implements a parametric reported-value Gumbel mixture distribution that accounts for the uncertainty in the number of fatalities in the UCDP data. The model is based on information from a survey on UCDP coders and how they view the uncertainty of the number of fatalities from UCDP events. The package provides functions for making random draws of fatalities from the mixture distribution, as well as to estimate percentiles, quantiles, means, and other statistics of the distribution. Full details on the survey and estimation procedure can be found in Vesco et al (2024).