Contains all phrasal verbs listed in <https://www.englishclub.com/ref/Phrasal_Verbs/>
            as data frame. Useful for educational purpose as well as for text mining.

A unified interface to access and manipulate various Philippine statistical classifications. It allows users to retrieve, filter, and harmonize classification data, making it easier to work with Philippine statistical data in R.

A collection of methods for commonly undertaken analytical
    tasks, primarily developed for Public Health Scotland (PHS) analysts,
    but the package is also generally useful to others working in the
    healthcare space, particularly since it has functions for working with
    Community Health Index (CHI) numbers. The package can help to make
    data manipulation and analysis more efficient and reproducible.

Provides tools for penalised maximum likelihood estimation of hidden semi-Markov models (HSMMs) with flexible state dwell-time distributions. These include functions for model fitting, model checking and state-decoding. The package considers HSMMs for univariate time series with state-dependent gamma, normal, Poisson or Bernoulli distributions. For details, see Pohle, J., Adam, T. and Beumer, L.T. (2021): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. <arXiv:2101.09197>.

Extract and interact with data from the Scottish Health and
    Social Care Open Data platform <https://www.opendata.nhs.scot>.

Assessment of habitat selection by means of the permutation-based combination of sign tests (Fattorini et al., 2014 <DOI:10.1007/s10651-013-0250-7>). To exemplify the application of this procedure, habitat selection is assessed for a population of European Brown Hares settled in central Italy.

A low-level package for hosting persistence data. It is part of the
    'TDAverse' suite of packages, which is designed to provide a collection of
    packages for enabling machine learning and data science tasks using
    persistent homology. Implements a class for hosting persistence data, a
    number of coercers from and to already existing and used data structures
    from other packages and functions to compute distances between persistence
    diagrams. A formal definition and study of bottleneck and Wasserstein
    distances can be found in Bubenik, Scott and Stanley (2023)
    <doi:10.1007/s41468-022-00103-8>. Their implementation in 'phutil' relies on
    the 'C++' Hera library developed by Kerber, Morozov and Nigmetov (2017)
    <doi:10.1145/3064175>.