Functions for processing and analyzing survey data from the All of 
    Us Social Determinants of Health (AOUSDOH) program, including tools for 
    calculating health and well-being scores, recoding variables, and simplifying 
    survey data analysis. For more details see - Koleck TA, Dreisbach C, Zhang C, 
    Grayson S, Lor M, Deng Z, Conway A, Higgins PDR, Bakken S (2024) 
    <doi:10.1093/jamia/ocae214>.

Provides functions to perform statistical inference in the balanced one-way ANOVA model with a random factor: confidence intervals, prediction interval, and Weerahandi generalized pivotal quantities. References: Burdick & Graybill (1992, ISBN-13: 978-0824786441); Weerahandi (1995) <doi:10.1007/978-1-4612-0825-9>; Lin & Liao (2008) <doi:10.1016/j.jspi.2008.01.001>.

It covers various approaches to analysis of variance, provides an assumption testing section in order to provide a decision diagram that allows selecting the most appropriate technique. It provides the classical analysis of variance, the nonparametric equivalent of Kruskal Wallis, and the Bayesian approach. These results are shown in an interactive shiny panel, which allows modifying the arguments of the tests, contains interactive graphics and presents automatic conclusions depending on the tests in order to contribute to the interpretation of these analyzes. 'AovBay' uses 'Stan' and 'FactorBayes' for Bayesian analysis and 'Highcharts' for interactive charts.

Formatter functions in the 'apa' package take the return value of a
    statistical test function, e.g. a call to chisq.test() and return a string
    formatted according to the guidelines of the APA (American Psychological
    Association).

Create American Psychological Association Style, Seventh
    Edition documents. Format numbers and text consistent with APA style.
    Create tables that comply with APA style by extending flextable
    functions.

R interface for 'Apache Sedona' based on 'sparklyr'
    (<https://sedona.apache.org>).

Provides capabilities to process Apache HTTPD Log files.The main functionalities are to extract data from access and error log files to data frames.