Index of /archives/text/CTAN/macros/latex/contrib/iaria
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Parent Directory -
COPYING 2024-09-15 06:35 500
README 2024-09-15 06:35 1.9K
docstrip.cfg 2024-09-15 06:35 344
iaria.dtx 2024-09-15 06:35 16K
iaria.ins 2024-09-15 06:35 821
iaria.pdf 2024-09-15 06:35 172K
template/ 2024-09-17 16:52 -
-----------------------------
Version 0.4 of the iaria class
Christoph P. Neumann
-----------------------------
This package contains templates for the creation of documents for
IARIA publications (International Academy, Research, and Industry Association)
and implements the specifications for the IARIA citation style.
This class does not contain evil low-level TeX magic
but instead uses many other fancy LaTeX packages
that we hope you have already installed.
DISCLAIMER: This class is neither for XeLaTeX or LuaTeX
nor for legacy bibtex or natbib. For these have a look
at CTAN package iaria-lite.
This work may be distributed and/or modified under the
conditions of the LaTeX Project Public License, either version 1.3c
of this license or (at your option) any later version.
The latest version of this license is in
http://www.latex-project.org/lppl.txt
and version 1.3c or later is part of all distributions of LaTeX
version 2008/05/04 or later.
Installation
------------
After unzipping the package call:
$ latex iaria.ins
This will be extract some files (iaria.cls, iariaNLS.sty...). Create a
directory beneath your TeX installation preferably create
tex/latex/iaria
and copy all files of the package and the extracted files to that directory.
Call:
mktexlsr
Templates
---------
In the template directory you can find an example document.
Source Code
-----------
The source code of this latex package can be found at:
https://github.com/cyberlytics/iaria
The build that creates the CTAN-conforming upload ZIP archive
can be achieved with the Docker image at Dockerhub:
cyberlytics/ctan-prep:latest
An examplery 'make dist' call is:
docker run --rm -it -v ${PWD}/:/app cyberlytics/ctan-prep:latest make dist
The source code of this supportive Docker image can be found at:
https://github.com/cyberlytics/ctan-prep
/Christoph P. Neumann, <cyberpetaneuron+iaria@gmail.com>