Performs two-way tests in independent groups designs. These are two-way ANOVA, two-way ANOVA under heteroscedasticity: parametric bootstrap based generalized test and generalized pivotal quantity based generalized test, two-way ANOVA for medians, trimmed means, M-estimators. The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All 'twowaytests' functions are designed for two-way layout  (Dag et al., 2024, <doi:10.1016/j.softx.2024.101862>).

A collection of functions for data analysis with two-by-two contingency tables. The package provides tools to compute measures of effect (odds ratio, risk ratio, and risk difference), calculate impact numbers and attributable fractions, and perform hypothesis testing. Statistical analysis methods are oriented towards epidemiological investigation of relationships between exposures and outcomes.

A comprehensive R interface to Python's 'twscrape' library for scraping
    Twitter/X data. This package uses 'reticulate' to provide a seamless R interface to
    the fully functional Python 'twscrape' library. Supports searching tweets, user
    timelines, followers, and more, with built-in rate limiting and multi-account
    support. Built on top of 'twscrape' by vladkens
    <https://github.com/vladkens/twscrape> and inspired by 'snscrape' by
    JustAnotherArchivist <https://github.com/JustAnotherArchivist/snscrape>.

A model for the growth of self-limiting populations using three, four, or five parameter 
    functions, which have wide applications in a variety of fields.
    The dependent variable in a dynamical modeling could be the population size at time x, 
    where x is the independent variable. In the analysis of quantitative polymerase chain reaction 
    (qPCR), the dependent variable would be the fluorescence intensity and the independent variable 
    the cycle number. This package then would calculate the TWW cycle threshold.