Density, distribution function, quantile function and random generation for the log uniform distribution in the interval from min to max. Parameters must be raw values (not log-transformed) and will be log-transformed using specified base.
Density, distribution function, quantile function, and random generation for a univariate (one-dimensional) distribution composed of a mixture of normal distributions with means equal to mean, standard deviations equal to sd, and mixing proportion of the components equal to pro.
LcKS
(Package: KScorrect) :
Lilliefors-corrected Kolmogorov-Smirnoff Goodness-Of-Fit Test
Implements the Lilliefors-corrected Kolmogorov-Smirnoff test for use in goodness-of-fit tests, suitable when population parameters are unknown and must be estimated by sample statistics. It uses Monte Carlo simulation to estimate p-values. Coded to wrap around ks.test, it can be used with a variety of continuous distributions, including normal, lognormal, univariate mixtures of normals, uniform, loguniform, exponential, gamma, and Weibull distributions.
providing 
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