jax.scipy.stats.truncnorm.logcdf

jax.scipy.stats.truncnorm.logcdf#

jax.scipy.stats.truncnorm.logcdf(x, a, b, loc=0, scale=1)[source]#

Truncated normal log cumulative distribution function.

JAX implementation of scipy.stats.truncnorm logcdf.

The cdf is defined as

\[f_{cdf} = \int_{-\infty}^x f_{pdf}(y) \mathrm{d}y\]

where here \(f_{pdf}\) is the probability distribution function, jax.scipy.stats.truncnorm.pdf().

Parameters:

x (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, value at which to evaluate the CDF
a (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution shape parameter
b (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution shape parameter
loc (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution offset parameter
scale (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution scale parameter

Returns:

array of logcdf values.

Return type:

Array