Wraps the 'AT' Protocol (Authenticated Transfer Protocol) behind 
    'Bluesky' <https://bsky.social>. Functions can be used for, among others, 
    retrieving posts and followers from the network or posting content.

Contains some tools for testing, analyzing time series data and
    fitting popular time series models such as ARIMA, Moving Average and Holt
    Winters, etc. Most functions also provide nice and clear outputs like SAS
    does, such as identify, estimate and forecast, which are the same statements
    in PROC ARIMA in SAS.

Manage dependencies during package development. This can
    retrieve all dependencies that are used in ".R" files in the "R/"
    directory, in ".Rmd" files in "vignettes/" directory and in 'roxygen2'
    documentation of functions. There is a function to update the
    "DESCRIPTION" file of your package with 'CRAN' packages or any other
    remote package.  All functions to retrieve dependencies of ".R"
    scripts and ".Rmd" or ".qmd" files can be used independently of a
    package development.

Tools for defensive programming, inspired by 'purrr' mappers and 
    based on 'rlang'.'attempt' extends and facilitates defensive programming by 
    providing a consistent grammar, and provides a set of easy to use functions 
    for common tests and conditions. 'attempt' only depends on 'rlang', and 
    focuses on speed, so it can be easily integrated in other functions and 
    used in data analysis.

Self-Attention algorithm helper functions and demonstration vignettes of increasing depth on how to construct the Self-Attention algorithm, this is based on Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>, Dan Jurafsky and James H. Martin (2022, ISBN:978-0131873216) <https://web.stanford.edu/~jurafsky/slp3/> "Speech and Language Processing (3rd ed.)" and Alex Graves (2020) <https://www.youtube.com/watch?v=AIiwuClvH6k> "Attention and Memory in Deep Learning".

Confidence curves, confidence intervals and p-values for 
   correlation coefficients corrected for attenuation due to measurement error.
   Implements the methods described in Moss (2019, <arxiv:1911.01576>).