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	<h2>Mathx::Stat, a start of a statistics package</h2>

	<p>
	As I write games most of the time I needed something else than the
	SDL2::Raw package, as I am a SDL (1.2) coder. SDL from http://libsdl.org
	served the community of emulator and game hackers for years but was not
	included anymore in Perl 6, so I thought to make some polyvalent game
	mechanics without it.
	</p>
	<p>
	If you want to write a game with the Mathx::Stat package you can use
	the Variance and Estimate (Expectance) methods to differ in calculated
	variances.
	</p>
	<p>
	The fact is that you use a Population or DistributionPopulation instance
	for measuring variance on a distributed set of probabilities. You can then
	write your own, in the first place, uniformly distributed random variables
	set with it.
	</p>
	<p>
	The package was meant to support Markov strategies for calculating several
	variances and comparing them in game theory. The Probability class can be
	used for multi-variate Bayes.
	</p>
	<p>
	Later on, I will concur upon more statistical chaos theory inside the
	Mathx:::Stat package such as the popular Correlation Dimension.
	There is a Bayes::Learn package with brute force Bayesian Learning which
	uses the Bayes formula of Mathx::Stat. Game::Markov is another package
	in the make which features Time and Tick classes for making games.
	Each Time instance is a nano-,milli-,seconds based time which you can
	adjust at runtime. Game::Markov also includes control variates, antithetic
	variates and more to make fast games at initialization and runtime.
	Some classes feature a gen method whereby you can generate distributed
	(random) variables which can lead you to a game runtime of e.g. a plateau
	in a fractal landscape.
	</p>
	<p>
	OK, so we promised a lot and in a (few) months you'll have real-time
	strategiy and RPG Action classes in the Game::Markov CPAN archive.
	Note that a prototype exists in the ecosystem.
	</p>
	<p>
	That's it, enjoy !
	</p>
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