Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.

Tools for accessing various open data APIs in the Helsinki
    region in Finland. Current data sources include the Service Map API,
    Linked Events API, and Helsinki Region Infoshare statistics API.

Tools to calculate Mean Corpuscular Volume, Mean Corpuscular
             Hemoglobin, and Mean Corpuscular Hemoglobin Concentration,
             which are essential for assessing red blood cell health and 
             diagnosing blood disorders.

Import and classify canopy fish-eye images, estimate angular gap fraction and derive canopy attributes like leaf area index and openness.  Additional information is provided in the study by Chianucci F., Macek M. (2023) <doi:10.1016/j.agrformet.2023.109470>.

A visualization suite primarily designed for single-cell
    RNA-sequencing data analysis applications but well-suited for
    other purposes as well. It introduces novel plots to represent two-variable
    and frequency data and optimizes some commonly used plotting options
    (e.g., correlation, network, density, alluvial and volcano plots) 
    for ease of usage and flexibility.

Provides HE plot and other functions for visualizing hypothesis
    tests in multivariate linear models. HE plots represent sums-of-squares-and-products 
    matrices for linear hypotheses and for error using ellipses (in two
    dimensions) and ellipsoids (in three dimensions). It also provides other tools for analysis and graphical display of the models
    such as robust methods and homogeneity of variance covariance matrices.
    The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when
    there are more than a few response variables.