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Fit log-normal distributions to firm size data
fit.lnmix(x, method='lognormal', k=1,lbound,ubound)
raw data or binned data.
choose model fitting algorithm
Number of components.
Lower and upper bound of the support of the distribution.
We fit a mixture model to take care the zero values using component-0.
AS 254, ...
# NOT RUN { # To be updated. x = rexp(100,1) # }
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