What are Univariate Distributions in the StatsModels library?

Recipe Objective - What are Univariate Distributions in the StatsModels library?

Univariate distributions can be generated from non-linear transformations of existing univariate distributions. Transf_gen is a class that can cause a new distribution from a monotonous shift. TransfTwo_gen can use hump or U-shaped conversions such as abs and quadratic. The rest of the objects are exceptional cases.

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Different types:

TransfTwo_gen(kls, func, funcinvplus, ...)
Distribution based on a non-monotonic (u- or hump-shaped transformation)

Transf_gen(kls, func, funcinv, args, *kwargs)
a class for non-linear monotonic transformation of a continuous random variable

ExpTransf_gen(kls, args, *kwargs)
Distribution based on log/exp transformation

LogTransf_gen(kls, args, *kwargs)
Distribution based on log/exp transformation

SquareFunc()
class to hold quadratic function with inverse function and derivative

absnormalg
Distribution based on a non-monotonic (u- or hump-shaped transformation)

invdnormalg
a class for non-linear monotonic transformation of a continuous random variable

loggammaexpg
univariate distribution of a non-linear monotonic transformation of a random variable

lognormalg
a class for the non-linear monotonic transformation of a continuous random variable

negsquarenormalg
Distribution based on a non-monotonic (u- or hump-shaped transformation)

squarenormalg
Distribution based on a non-monotonic (u- or hump-shaped transformation)

squaretg
Distribution based on a non-monotonic (u- or hump-shaped transformation)