Problems with Wakeby distribution

[lcunha0118]

I am having problems with the Wakeby distribution in your library.

I am trying to calculate the 0.5 quantile for the following data:

data=[ 67.65056849, 74.38059133, 92.17499793, 70.07513288,
85.01663804, 60.74476708, 57.8690283 , 58.19832142,
45.58640029, 52.37878952, 57.12557528, 52.26964206,
103.2897938 , 147.10877761, 48.85905404, 60.80855671,
114.31812868, 64.95975126, 61.2292042 , 74.81203638,
75.37807133, 48.27653356, 45.17146591, 69.72044762,
51.51300766, 72.7116555 , 62.80461308, 55.12026027,
50.11876859, 81.86401986, 72.79674355, 102.09984854,
53.2433996 , 49.94688258, 49.43813961, 78.94880231,
82.54409563, 77.62494106, 144.03982423, 74.15119205,
56.95598256, 55.86952697, 91.05071314, 56.49325624,
54.72556818, 60.55818591, 71.07502688, 62.97981832,
55.69969788, 95.64060979]

paraEarly = distr.wak.lmom_fit(data)
fitted_wak = distr.wak(**paraEarly)
UQEarly = fitted_wak.ppf(0.5)

Which return 317.79357036. Clearly not the 50% quantile for the data above. I checked the results with lmoments in python 2 and lmom in RStudio and both libraries give me the right result (63.7252).

Can you please take a look at this or let me know what is the problem.

Thank you,

Luciana

[Zeitsperre]

Hi,

I just want to let you know that lmoments3 development has switched hands and migrated to https://github.com/Ouranosinc/lmoments3. This repository is essentially obsolete. If you are still having issues or would like to see changes to lmoments3, please feel free to re-open this issue at the new location.

All the best,