I’m trying to use the cdf of a multivariate normal distribution using Distributions.jl.

While

```
d = Normal(0,1)
d2 = MvNormal([0.;0.], [1. 0.;0. 1.])
x = [1. ; 2.]
e1 = cdf(d,x[1])
e2 = cdf(d,x[2])
```

works (as long as the mean vector and the var-cov matrix for the multivariate normal are Floats ), I get an error whenever I write

`e3 = cdf(d2,x)`

Here is the error message:

```
ERROR: MethodError: no method matching cdf(::Distributions.MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}}, ::Array{Float64,1})
Closest candidates are:
cdf(::Distributions.Distribution{Distributions.Univariate,S<:Distributions.ValueSupport}, ::AbstractArray{T,N}) at /Applications/JuliaPro-0.5.1.1.app/Contents/Resources/pkgs-0.5.1.1/v0.5/Distributions/src/univariates.jl:205
```

Does the cdf function support multivariate distributions? I couldn’t find anything on this in the documentation of Distributions.jl.