pymc.ZeroInflatedBinomial

class pymc.ZeroInflatedBinomial(name, psi, n, p, **kwargs)

Zero-inflated Binomial log-likelihood.

The pmf of this distribution is

\[\begin{split}f(x \mid \psi, n, p) = \left\{ \begin{array}{l} (1-\psi) + \psi (1-p)^{n}, \text{if } x = 0 \\ \psi {n \choose x} p^x (1-p)^{n-x}, \text{if } x=1,2,3,\ldots,n \end{array} \right.\end{split}\]

(Source code, png, hires.png, pdf)

Parameters

psitensor_like of float

Expected proportion of Binomial variates (0 < psi < 1)

ntensor_like of int

Number of Bernoulli trials (n >= 0).

ptensor_like of float

Probability of success in each trial (0 < p < 1).

Methods

ZeroInflatedBinomial.__init__(*args, **kwargs)
ZeroInflatedBinomial.dist(psi, n, p, **kwargs)