Surrounds the usual sample variance of a univariate numeric sample with a confidence interval for the population variance. This has been done so far only under the assumption that the underlying distribution is normal. Under the hood, this package implements the unique least-variance unbiased estimator of the variance of the sample variance, in a formula that is equivalent to estimating kurtosis and square of the population variance in an unbiased way and combining them according to the classical formula into an estimator of the variance of the sample variance. Both the sample variance and the estimator of its variance are U-statistics. By the theory of U-statistic, the resulting estimator is unique. See Fuchs, Krautenbacher (2016) <doi:10.1080/15598608.2016.1158675> and the references therein for an overview of unbiased estimation of variances of U-statistics.

R's default conflict management system gives the most
    recently loaded package precedence. This can make it hard to detect
    conflicts, particularly when they arise because a package update
    creates ambiguity that did not previously exist. 'conflicted' takes a
    different approach, making every conflict an error and forcing you to
    choose which function to use.

Provides utilities for working with various 'Confluence' API 
    <https://docs.atlassian.com/ConfluenceServer/rest/latest/>, including a
    functionality to convert an R Markdown document to 'Confluence' format and
    upload it to 'Confluence' automatically.

Model soil gas fluxes with the Flux-Gradient Method. It includes
    functions for data handling, a forward and an inverse model for flux
    modeling and methods for calibration and uncertainty estimation. For more
    details see Gartiser et al. (2025a) <doi:10.21105/joss.08094> and Gartiser 
    et al. (2025b) <doi:10.1111/ejss.70126>.

Thematic quality indices are provided to facilitate the evaluation
    and quality control of geospatial data products (e.g. thematic maps, remote
    sensing classifications, etc.). The indices offered are based on the
    so-called confusion matrix. This matrix is constructed by comparing the
    assigned classes or attributes of a set of pairs of positions or objects
    in the product and the ground truth. In this package it is considered that
    the classes of the ground truth correspond to the columns and that the
    classes of the product to be valued correspond to the rows. The package
    offers two object classes with their methods: 'ConfMatrix' (Confusion
    matrix) and 'QCCS' (Quality Control Columns Set). The 'ConfMatrix' class of
    objects offers more than 20 methods based on the confusion matrix. The
    'QCCS' class of objects offers a different perspective in which the ground
    truth is considered to allow the values of the column marginals to be fixed,
    see Ariza López et al. (2019) <doi:10.3390/app9204240> and Canran Liu et al.
    (2007) <doi:10.1016/j.rse.2006.10.010> for more details. The package was
    created with 'R6'.