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pump v0.11.6
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CHANGELOG.md

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# v0.11.6 (Upcoming Release)
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# v0.11.7 (Upcoming Release)
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# v0.11.6
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- Update citation of `robhatreg` a.k.a Robust Hat Matrix based Regression Estimator
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- Fix typos in code, code comments, and documentation
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- Replace one dimensional `Array{` definitions with `Vector{`
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- Define deviations and their bounds in a single line and remove additional constraints in LAD and Quantile Regression
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- Atkinson94 returns `betas` insteada of `coef` in returned dictionary.
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# v0.11.5

Project.toml

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name = "LinRegOutliers"
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uuid = "6d4de0fb-32d9-4c65-aac1-cc9ed8b94b1a"
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authors = ["Mehmet Hakan Satman <mhsatman@gmail.com>", "Shreesh Adiga <16567adigashreesh@gmail.com>", "Guillermo Angeris <angeris@stanford.edu>", "Emre Akadal <emre.akadal@istanbul.edu.tr>"]
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version = "0.11.5"
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version = "0.11.6"
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[deps]
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Clustering = "aaaa29a8-35af-508c-8bc3-b662a17a0fe5"

src/atkinson94.jl

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"residuals_matrix" => [0.0286208 0.0620609 … 0.0796249 0.0; 0.0397778 0.120547 … 0.118437 0.0397778; … ; 1.21133 1.80846 … 0.690327 4.14366; 1.61977 0.971592 … 0.616204 3.58098]
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"outliers" => [1, 3, 4, 21]
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"objective" => 0.799134
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"coef" => [-38.3133, 0.745659, 0.432794, 0.0104587]
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"betas" => [-38.3133, 0.745659, 0.432794, 0.0104587]
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"crit" => 3.0
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```
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end
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d = Dict{String, Any}()
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d["coef"] = bestparameters
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d["betas"] = bestparameters
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d["objective"] = bestobjective
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d["optimum_index"] = bestindex
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d["residuals_matrix"] = bestres[p:end, :]

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