pymc.ZeroInflatedBinomial#
- class pymc.ZeroInflatedBinomial(name, psi, n, p, **kwargs)[source]#
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
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)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)