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>.

Perform correlation and linear regression test
    among the numeric fields in a data.frame automatically
    and make plots using pairs or lattice::parallelplot.

Plot the daily and cumulative number of downloads of your packages.
    It is designed to be slightly more convenient than the several similar programs. If you want to run this each morning,
    you do not need to keep typing in the names of your packages. Also, this combines the daily and cumulative counts in one
    run, you do not need to run separate programs to get both types of information.

Create interactive 'd3.js' visualizations from R with built-in
    statistical transforms. Computes confidence intervals, regression fits,
    LOESS smoothing, moving averages, error bars, and uncertainty
    visualizations (quantile dot plots and fan charts) in R and renders them
    as composable chart layers via 'htmlwidgets'. Supports 36 chart types
    including boxplots, violin plots, Q-Q diagnostic plots, calendar heatmaps,
    survival curves, and group comparisons with pairwise significance testing.
    Also provides a machine-readable chart specification schema with validators
    so that large language model agents can author and verify charts. Works in
    'RStudio', 'Shiny', and 'R Markdown'.