aaronpeikert / ProximalGLM.jl

Home Page:https://aaronpeikert.github.io/ProximalGLM.jl/dev/

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ProximalGLM

Dev Documentation Build Status codecov

To install ProximalGLM.jl:

import Pkg; Pkg.add("ProximalGLM")

A simple example:

using ProximalGLM
using DataFrames, StableRNGs
β = [0.5, 0, 0];
X, y = ProximalGLM.Simulate.binary(1000, β; rng = StableRNG(1));
data = hcat(DataFrame(y = y), DataFrame(X, :auto))
fit(ProximalLogistic, @formula(y ~ x1 + x2 + x3), data)
StatsModels.TableRegressionModel{Vector{Float64}, Matrix{Float64}}

y ~ 1 + x1 + x2 + x3

Coefficients:
[-0.03473, 0.44120, -0.02172, -0.05991]

About

https://aaronpeikert.github.io/ProximalGLM.jl/dev/

License:MIT License


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