jax.scipy.stats.truncnorm.logcdf

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

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 – arraylike, value at which to evaluate the CDF

• a – arraylike, distribution shape parameter

• b – arraylike, distribution shape parameter

• loc – arraylike, distribution offset parameter

• scale – arraylike, distribution scale parameter

Returns:

array of logcdf values.

See also

• jax.scipy.stats.truncnorm.cdf()

• jax.scipy.stats.truncnorm.pdf()

• jax.scipy.stats.truncnorm.sf()

• jax.scipy.stats.truncnorm.logpdf()

• jax.scipy.stats.truncnorm.logsf()