Visualizes vowel variation in f0, F1, F2, F3 and duration.

A Shiny application and functions for visual exploration of hierarchical clustering with numeric datasets. Allows users to iterative set hyperparameters, select features and evaluate results through various plots and computation of evaluation criteria.

Implements the novel testing approach by Janitza et al.(2015)
    <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4>
    for the permutation variable importance measure in a random forest and the
    PIMP-algorithm by Altmann et al.(2010) <doi:10.1093/bioinformatics/btq134>.
    Janitza et al.(2015) <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4>
    do not use the "standard" permutation variable
    importance but the cross-validated permutation variable
    importance for the novel test approach. The cross-validated
    permutation variable importance is not based on the out-of-bag
    observations but uses a similar strategy which is inspired by
    the cross-validation procedure. The novel test approach can be
    applied for classification trees as well as for regression
    trees. However, the use of the novel testing approach has not
    been tested for regression trees so far, so this routine is
    meant for the expert user only and its current state is rather
    experimental.

Provides templates and functions to simplify the production and maintenance of curriculum vitae.

Analysing vital statistics based on tools
    consistent with the tidyverse. Tools are provided for data visualization,
    life table calculations, computing net migration numbers, Lee-Carter
    modelling; functional data modelling and forecasting.

Provides fitting routines for four versions of the
        Vitality family of mortality models.

A port of 'Inspect', a widely adopted 'Python' framework for
    large language model evaluation. Specifically aimed at 'ellmer' users
    who want to measure the effectiveness of their large language model-based
    products, the package supports prompt engineering, tool usage,
    multi-turn dialog, and model graded evaluations.