Implementation of adaptive assessment procedures based
    on Knowledge Space Theory (KST, Doignon & Falmagne, 1999 <ISBN:9783540645016>) and Formal Psychological Assessment
    (FPA, Spoto, Stefanutti & Vidotto, 2010 <doi:10.3758/BRM.42.1.342>) frameworks. An adaptive assessment is a type of evaluation that
    adjusts the difficulty and nature of subsequent questions based on the
    test taker's responses to previous ones. The package contains functions
    to perform and simulate an adaptive assessment. Moreover, it is
    integrated with two 'Shiny' interfaces, making it both accessible and
    user-friendly.  The package has been partially funded by the European Union -
    NextGenerationEU and by the Ministry of University and Research (MUR),
    National Recovery and Resilience Plan (NRRP), Mission 4, Component 2,
    Investment 1.5, project “RAISE - Robotics and AI for Socio-economic
    Empowerment” (ECS00000035).

The chi-squared test for goodness of fit 
    and independence test.

Handling the microclimatic data in R. The 'myClim' workflow begins
    at the reading data primary from microclimatic dataloggers,
    but can be also reading of meteorological station data from files.
    Cleaning time step, time zone settings and metadata collecting is the next step of the work flow.
    With 'myClim' tools one can crop, join, downscale, and convert microclimatic data formats, sort them into localities,
    request descriptive characteristics and compute microclimatic variables.
    Handy plotting functions are provided with smart defaults.

The mycobacrvR package contains utilities to provide detailed information for B cell and T cell epitopes for predicted adhesins from various servers such as ABCpred, Bcepred, Bimas, Propred, NetMHC and IEDB. Please refer the URL below to download data files (data_mycobacrvR.zip) used in functions of this package.

Colour palettes and helper functions for visualising
    Mycobacterium tuberculosis genomic and epidemiological data with
    'ggplot2' and 'ggtree'. The package provides predefined palettes,
    scale functions, tree/cladogram helpers, and convenient preview tools
    to ensure consistent branding in pathogen-omics visualisations. The
    palettes were developed as part of the 'mycolorsTB' project
    <https://github.com/PathoGenOmics-Lab/mycolorsTB>.