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fixed links to juliastats/distributions.jl #377

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Dec 29, 2020
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fixed links to juliastats/distributions.jl #377

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16 changes: 8 additions & 8 deletions src/glmtools.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ abstract type Link01 <: Link end
CauchitLink

A [`Link01`](@ref) corresponding to the standard Cauchy distribution,
[`Distributions.Cauchy`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.Cauchy).
[`Distributions.Cauchy`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.Cauchy).
"""
mutable struct CauchitLink <: Link01 end

Expand All @@ -42,37 +42,37 @@ mutable struct IdentityLink <: Link end
"""
InverseLink

The canonical [`Link`](@ref) for [`Distributions.Gamma`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.Gamma) distribution, defined as `η = inv(μ)`.
The canonical [`Link`](@ref) for [`Distributions.Gamma`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.Gamma) distribution, defined as `η = inv(μ)`.
"""
mutable struct InverseLink <: Link end

"""
InverseSquareLink

The canonical [`Link`](@ref) for [`Distributions.InverseGaussian`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.InverseGaussian) distribution, defined as `η = inv(abs2(μ))`.
The canonical [`Link`](@ref) for [`Distributions.InverseGaussian`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.InverseGaussian) distribution, defined as `η = inv(abs2(μ))`.
"""
mutable struct InverseSquareLink <: Link end

"""
LogitLink

The canonical [`Link01`](@ref) for [`Distributions.Bernoulli`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.Bernoulli) and [`Distributions.Binomial`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.Binomial).
The canonical [`Link01`](@ref) for [`Distributions.Bernoulli`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.Bernoulli) and [`Distributions.Binomial`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.Binomial).
The inverse link, [`linkinv`](@ref), is the c.d.f. of the standard logistic distribution,
[`Distributions.Logistic`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.Logistic).
[`Distributions.Logistic`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.Logistic).
"""
mutable struct LogitLink <: Link01 end

"""
LogLink

The canonical [`Link`](@ref) for [`Distributions.Poisson`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.Poisson), defined as `η = log(μ)`.
The canonical [`Link`](@ref) for [`Distributions.Poisson`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.Poisson), defined as `η = log(μ)`.
"""
mutable struct LogLink <: Link end

"""
NegativeBinomialLink

The canonical [`Link`](@ref) for [`Distributions.NegativeBinomial`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.NegativeBinomial) distribution, defined as `η = log(μ/(μ+θ))`.
The canonical [`Link`](@ref) for [`Distributions.NegativeBinomial`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.NegativeBinomial) distribution, defined as `η = log(μ/(μ+θ))`.
The shape parameter θ has to be fixed for the distribution to belong to the exponential family.
"""
mutable struct NegativeBinomialLink <: Link
Expand All @@ -83,7 +83,7 @@ end
ProbitLink

A [`Link01`](@ref) whose [`linkinv`](@ref) is the c.d.f. of the standard normal
distribution, [`Distributions.Normal()`](https://juliastats.github.io/Distributions.jl/stable/univariate.html#Distributions.Normal).
distribution, [`Distributions.Normal()`](https://juliastats.org/Distributions.jl/stable/univariate/#Distributions.Normal).
"""
mutable struct ProbitLink <: Link01 end

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