mentat/rand/distributions/sidebar-items.js

initSidebarItems({"mod":[["exponential","The exponential distribution."],["gamma","The Gamma and derived distributions."],["normal","The normal and derived distributions."],["range","Generating numbers between two others."]],"struct":[["ChiSquared","The chi-squared distribution `χ²(k)`, where `k` is the degrees of freedom."],["Exp","The exponential distribution `Exp(lambda)`."],["FisherF","The Fisher F distribution `F(m, n)`."],["Gamma","The Gamma distribution `Gamma(shape, scale)` distribution."],["LogNormal","The log-normal distribution `ln N(mean, std_dev**2)`."],["Normal","The normal distribution `N(mean, std_dev**2)`."],["RandSample","A wrapper for generating types that implement `Rand` via the `Sample` & `IndependentSample` traits."],["Range","Sample values uniformly between two bounds."],["StudentT","The Student t distribution, `t(nu)`, where `nu` is the degrees of freedom."],["Weighted","A value with a particular weight for use with `WeightedChoice`."],["WeightedChoice","A distribution that selects from a finite collection of weighted items."]],"trait":[["IndependentSample","`Sample`s that do not require keeping track of state."],["Sample","Types that can be used to create a random instance of `Support`."]]});