pykelihood.distributions.

Distribution#

class Distribution(*params)#

Base class for all distributions.

rvs(size: int, \*args, \*\*kwargs) → np.ndarray#: Generate random variates.

cdf(x: Obs)#: Cumulative distribution function.

isf(q: Obs)#: Inverse survival function.

ppf(q: Obs)#: Percent point function (inverse of cdf).

pdf(x: Obs)#: Probability density function.

sf(x: Obs)#: Survival function.

logcdf(x: Obs)#: Log of the cumulative distribution function.

logsf(x: Obs)#: Log of the survival function.

logpdf(x: Obs)#: Log of the probability density function.

inverse_cdf(q: Obs)#: Inverse of the cumulative distribution function.

fit(data: Obs, x0: Sequence[float] = None, score: Callable[["Distribution", Obs], float] = opposite_log_likelihood, scipy_args: Optional[Dict] = None, \*\*fixed_values) → SomeDistribution#: Fit the distribution to the data.