pystra.distributions.zeroinflated.ZeroInflated

class ZeroInflated(name, dist, p, input_type=None, startpoint=None)

Bases: Distribution

A Zero-Inflated rendering of the provided distribution.

Variable loads sometimes have values of zero when they are not occurring. This distribution creates a mixed distribution where there is a certain probability p of a zero value, otherwise with a probability 1-p a realization of the provided distribution occurs.

Attributes:

• name (str): Name of the random variable

• mean (float): Mean

• stdv (float): Standard deviation

• dist (Distribution): Distribution to zero-inflate

• p (float): Probability of zero

• input_type (any): Change meaning of mean and stdv

• startpoint (float): Start point for seach

Methods

cdf	Cumulative distribution function
getMean
getName
getStartPoint
getStdv
jacobian	Compute the Jacobian (e.g.
pdf	Probability density function
plot	Plots the PDF of the distribution
ppf	inverse cumulative distribution function
sample	Return a sample of the distribution of length n
setStartPoint
set_location	Updating the zero-inflated distribution location parameter.
set_scale	Updating the zero-inflated distribution scale parameter.
set_zero_probability	Update the zero-inflated probability.
u_to_x	Transformation from u to x
x_to_u	Transformation from x to u

Attributes

std_normal

pdf(x)

Probability density function

cdf(x)

Cumulative distribution function

ppf(p)

inverse cumulative distribution function

u_to_x(u)

Transformation from u to x

x_to_u(x)

Transformation from x to u

jacobian(u, x)

Compute the Jacobian (e.g. Lemaire, eq. 4.9)

set_location(loc=0)

Updating the zero-inflated distribution location parameter.

set_scale(scale=1)

Updating the zero-inflated distribution scale parameter.

set_zero_probability(p)

Update the zero-inflated probability.

plot(ax=None, **kwargs)

Plots the PDF of the distribution

sample(n=1000)

Return a sample of the distribution of length n