particles.distributions.LogitD

class LogitD(base_dist, a=0.0, b=1.0)[source]

Distributions of Y=logit((X-a)/(b-a)).

See base class TransformedDist.

Parameters:

  • base_dist (ProbDist) – The distribution of X

  • a (float) – intervalp [a, b] is the support of base_dist

  • b (float) – intervalp [a, b] is the support of base_dist

__init__(base_dist, a=0.0, b=1.0)[source]

Methods

__init__(base_dist[, a, b])

error_msg(method)

f(x)

finv(x)

Inverse of f.

logJac(x)

Log of Jacobian.

logpdf(x)

pdf(x)

ppf(u)

rvs([size])

shape(size)

Attributes

dim