The main function calculates confidence intervals (CI) for Mixed Models, utilizing both classical estimators from the lmer() function in the 'lme4' package and robust estimators from the rlmer() function in the 'robustlmm' package, as well as the varComprob() function in the 'robustvarComp' package. Three methods are available: the classical Wald method, the wild bootstrap, and the parametric bootstrap. Bootstrap methods offer flexibility in obtaining lower and upper bounds through percentile or BCa methods. More details are given in Mason, F., Cantoni, E., & Ghisletta, P. (2021) <doi:10.5964/meth.6607> and Mason, F., Cantoni, E., & Ghisletta, P. (2024) <doi:10.1037/met0000643>.

An interface to 'ConfliBERT', a pretrained language model for
    analyzing text about conflict and political violence (Hu et al. (2022)
    <doi:10.18653/v1/2022.naacl-main.400>). Provides functions for named
    entity recognition, binary and multilabel classification, and question
    answering, plus tools to fine-tune custom classifiers, compare several
    base model architectures, and run an interactive active-learning loop
    for efficiently labeling new data. Models are downloaded from
    'Hugging Face' and run through the 'transformers' library for 'Python'
    via the 'reticulate' package.

R's default conflict management system gives the most
    recently loaded package precedence. This can make it hard to detect
    conflicts, particularly when they arise because a package update
    creates ambiguity that did not previously exist. 'conflicted' takes a
    different approach, making every conflict an error and forcing you to
    choose which function to use.

Model soil gas fluxes with the Flux-Gradient Method. It includes
    functions for data handling, a forward and an inverse model for flux
    modeling and methods for calibration and uncertainty estimation. For more
    details see Gartiser et al. (2025a) <doi:10.21105/joss.08094> and Gartiser 
    et al. (2025b) <doi:10.1111/ejss.70126>.