fix typo

src/ArchimedeanCopulas/WilliamsonCopula.jl

@@ -11,7 +11,7 @@ Constructors
     WilliamsonCopula(ϕ::Function, d)
     WilliamsonCopula(ϕ::Function, X::Distributions.UnivariateDistribution, d)
 
-The WilliamsonCopula is the barebone Archimedean Copula that directly leverages the Williamson transform and inverse transform (in their greatest generalities), that are implemented in [WilliamsonTransforms.jl](https://www.github.com/lrnv/WilliamsonTransforms.jl). You can construct it by providing the Williamson-d-tranform as a (non-negative) random variable `X::Distributions.UnivariateDistribution`, or by providing the $d$-monotone generator `ϕ::Function` as a function from ``\\mathbb R_+`` to ``[0,1]``, decreasing and d-monotone. The other component will be computed automatically. You also have the option to provide both, which will probably be faster if you have an analytical expression for both. 
+The WilliamsonCopula is the barebone Archimedean Copula that directly leverages the Williamson transform and inverse transform (in their greatest generalities), that are implemented in [WilliamsonTransforms.jl](https://www.github.com/lrnv/WilliamsonTransforms.jl). You can construct it by providing the Williamson-d-tranform as a (non-negative) random variable `X::Distributions.UnivariateDistribution`, or by providing the ``d``-monotone generator `ϕ::Function` as a function from ``\\mathbb R_+`` to ``[0,1]``, decreasing and d-monotone. The other component will be computed automatically. You also have the option to provide both, which will probably be faster if you have an analytical expression for both. 
 
 About `WilliamsonCopula(X::Distributions.UnivariateDistribution, d)`: For a univariate non-negative random variable ``X``, with cumulative distribution function ``F`` and an integer ``d\\ge 2``, the Williamson-d-transform of ``X`` is the real function supported on ``[0,\\infty[`` given by: