Imports: rjags (>= 3-13), coda (>= 0.13), parallel, methods, stats,

Imports: rjags (>= 3-13), coda (>= 0.13), parallel, stats, grDevices,

Title: Extracting and Visualizing Output from 'jagsUI'
Authors@R: person("Matt", "Tyers", email = "matttyersstat@gmail.com",
Description: Tools are provided to streamline Bayesian analyses in 'JAGS' using
the 'jagsUI' package.  Included are functions for extracting output in
simpler format, functions for streamlining assessment of convergence, and
functions for producing summary plots of output.  Also included is a
function that provides a simple template for running 'JAGS' from 'R'.
Referenced materials can be found at <DOI:10.1214/ss/1177011136>.

Description: Bayesian data analysis usually incurs long runtimes
A pipeline toolkit tailored to Bayesian statisticians,
the 'jagstargets' R package is leverages
'targets' and 'R2jags' to ease this burden.
'jagstargets' makes it super easy to set up scalable
JAGS pipelines that automatically parallelize the computation
and skip expensive steps when the results are already up to date.
Minimal custom code is required, and there is no need to manually
configure branching, so usage is much easier than 'targets' alone.
For the underlying methodology, please refer
to the documentation of 'targets' <doi:10.21105/joss.02959> and 'JAGS'

Title: Conversion Between Jalali (Persian or Solar Hijri) and Gregorian
Description: 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.
person(given = "jdf.scr.ir", family = "",

Title: Analysis Tools for the 'JAMES' Framework
Maintainer: Herman De Beukelaer <Herman.DeBeukelaer@UGent.be>
Description: Analyze and visualize results of studies performed with the
analysis tools in 'JAMES', a modern object-oriented Java
framework for discrete optimization using local search
Imports: rjson (>= 0.2.14), naturalsort (>= 0.1.2)