Simulation results detailed in Esarey and Menger (2019) <doi:10.1017/psrm.2017.42>
    demonstrate that cluster adjusted t statistics (CATs) are an effective method
    for correcting standard errors in scenarios with a small number of clusters.
    The 'mmiCATs' package offers a suite of tools for working with CATs. The
    mmiCATs() function initiates a 'shiny' web application, facilitating
    the analysis of data utilizing CATs, as implemented in the cluster.im.glm()
    function from the 'clusterSEs' package. Additionally, the pwr_func_lmer()
    function is designed to simplify the process of conducting simulations to
    compare mixed effects models with CATs models. For educational purposes, the
    CloseCATs() function launches a 'shiny' application card game, aimed at enhancing
    users' understanding of the conditions under which CATs should be preferred
    over random intercept models.

Implements a computational framework to predict microbial community-based 
     metabolic profiles with 'O2PLS' model. It provides procedures of model 
     training and prediction. Paired microbiome and metabolome data are needed 
     for modeling, and the trained model can be applied to predict metabolites 
     of analogous environments using new microbial feature abundances.

Offering enhanced statistical power compared to traditional
    hypothesis testing methods, informative hypothesis testing allows researchers
    to explicitly model their expectations regarding the relationships among
    parameters. An important software tool for this framework is 'restriktor'.
    The 'mmirestriktor' package provides 'shiny' web applications to implement
    some of the basic functionality of 'restriktor'. The mmirestriktor() function
    launches a 'shiny' application for fitting and analyzing models with
    constraints. The FbarCards() function launches a card game application which
    can help build intuition about informative hypothesis testing. The
    iht_interpreter() helps interpret informative hypothesis testing results based
    on guidelines in Vanbrabant and Rosseel (2020) <doi:10.4324/9780429273872-14>.