A set of wrappers around 'rjags' functions to run Bayesian analyses in 'JAGS' (specifically, via 'libjags').  A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the 'R2WinBUGS'/'R2OpenBUGS' packages to allow easy switching between MCMC samplers.

Jalali, also known as Persian, Solar Hijri and Hijri Shamsi calendar is 
    the official calendar of Iran and Afghanistan. It begins on Nowruz, the March equinox, 
    as determined by astronomical calculation and has years of 365 or 366 days. 
    Adapting the algorithms in <https://jdf.scr.ir/>, this package provides tools 
    for converting the Jalali and Gregorian dates.

Provides an interface to 'Jamendo' API <https://developer.jamendo.com/v3.0>.
              Pull audio, features and other information for a given 
              'Jamendo' user (including yourself!) or enter an artist's -, album's -, 
              or track's name and retrieve the available information in seconds.

Full texts for Jane Austen's 6 completed novels, ready for
    text analysis. These novels are "Sense and Sensibility", "Pride and
    Prejudice", "Mansfield Park", "Emma", "Northanger Abbey", and
    "Persuasion".

The main janitor functions can: perfectly format data.frame column
    names; provide quick counts of variable combinations (i.e., frequency
    tables and crosstabs); and explore duplicate records. Other janitor functions
    nicely format the tabulation results. These tabulate-and-report functions
    approximate popular features of SPSS and Microsoft Excel. This package
    follows the principles of the "tidyverse" and works well with the pipe function
    %>%. janitor was built with beginning-to-intermediate R users in mind and is
    optimized for user-friendliness.