Cronbach's alpha and various formulas for confidence intervals. The relevant paper is Tsagris M., Frangos C.C. and Frangos C.C. (2013). "Confidence intervals for Cronbach's reliability coefficient". Recent Techniques in Educational Science, 14-16 May, Athens, Greece.

Functions to carry out the most important crystallographic calculations for crystal 
             structures made of 1d Gaussian-shaped atoms, especially useful for methods development.
             Main reference: E. Smith, G. Evans, J. Foadi (2017) <doi:10.1088/1361-6404/aa8188>.

Creates an HTML vertical timeline from a data frame as an input for
    'rmarkdown' documents and 'shiny' applications.

Create, edit, and remove 'cron' jobs on your unix-alike system. The package provides a set of easy-to-use wrappers
    to 'crontab'. It also provides an RStudio add-in to easily launch and schedule your scripts.

Simulates parameterized single- and double-directional stem deformations in tree point clouds derived from terrestrial or mobile laser scanning, enabling the generation of realistic synthetic datasets for training and validating machine learning models in wood defect detection, quality assessment, and precision forestry. For more details see Pires (2025) <doi:10.54612/a.7hln0kr0ta>.

A device closing function which is able to crop graphics (e.g.,
  PDF, PNG files) on Unix-like operating systems with the required underlying
  command-line tools installed.

Provides tools for crop breeding analysis including Genetic Coefficient of Variation (GCV), 
        Phenotypic Coefficient of Variation (PCV), heritability, genetic advance calculations, stability 
        analysis using the Eberhart-Russell model, two-way ANOVA for genotype-environment interactions, 
        and Additive Main Effects and Multiplicative Interaction (AMMI) analysis. These tools are developed
        for crop breeding research and stability evaluation under various environmental conditions.
        The methods are based on established statistical and biometrical principles.
        Refer to Eberhart and Russell (1966) <doi:10.2135/cropsci1966.0011183X000600010011x> for stability parameters,
        Fisher (1935) "The Design of Experiments" <ISBN:9780198522294>, Falconer (1996) "Introduction to Quantitative Genetics" 
        <ISBN:9780582243026>, and Singh and Chaudhary (1985) "Biometrical Methods in Quantitative Genetic Analysis" 
        <ISBN:9788122433764> for foundational methodologies.