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csgillespie / poweRlaw

This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.
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Generate random numbers for log-normal and exp distributions #32

Closed csgillespie closed 10 years ago

csgillespie commented 10 years ago

To make bootstrap_p work.

sven-h commented 10 years ago

Hi,

I currently write my master thesis in computer science and would like to use a goodness-of-fit test for continuous power-law and continuous log-normal distributions. Since dist_rand is not yet implemented for continuous log-normal I would like to ask if this will happen in near future. Or do I have other possibilities to convince my readers that it will better fit a log normal distribution? By the way: This package is very nice and self-explaining (also through the tutorials)

Best regards Sven

csgillespie commented 10 years ago

With a bit of luck, the functions should be added next week.

sven-h commented 10 years ago

Hi,

thank you so much.

Best regards Sven