distributions

Define random-number-safe distributions.

Classes

Dists	Class for managing a collection of Dist objects
Dist	Base class for tracking one random number generator associated with one distribution, i.e. one decision per timestep.
random	Random distribution, with values on the interval (0, 1)
uniform	Uniform distribution, values on interval (low, high)
normal	Normal distribution
lognorm_ex	Lognormal distribution, parameterized in terms of the "explicit" (lognormal) distribution, with mean=mean and std=std for this distribution (see lognorm_im for comparison).
lognorm_im	Lognormal distribution, parameterized in terms of the "implicit" (normal) distribution, with mean=loc and std=scale (see lognorm_ex for comparison).
expon	Exponential distribution
poisson	Poisson distribution
weibull	Weibull distribution (specifically, scipy.stats.weibull_min)
gamma	Gamma distribution (specifically, scipy.stats.gamma)
constant	Constant (delta) distribution: equivalent to np.full()
randint	Random integer distribution, on the interval [low, high)
rand_raw	Directly sample raw integers (uint64) from the random number generator.
bernoulli	Bernoulli distribution: return True or False with the specified probability (which can be an array)
choice	Random choice between discrete options (note: dynamic parameters not supported)
histogram	Sample from a histogram with defined bins
multi_random	A class for holding two or more ss.random() distributions, and generating random numbers linked to each of them.

Functions

link_dists	Link distributions to the sim and the module; used in module.init() and people.init()
make_dist	Make a distribution from a dictionary