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getzze / RobustModels.jl

A Julia package for robust regressions using M-estimators and quantile regressions
MIT License
36 stars 1 forks source link

Remove TableRegressionModel wrapper #31

Closed getzze closed 1 year ago

getzze commented 1 year ago

See https://github.com/JuliaStats/GLM.jl/pull/339

Also:

codecov[bot] commented 1 year ago

Codecov Report

Patch coverage: 86.50% and project coverage change: -0.21 :warning:

Comparison is base (7505097) 84.87% compared to head (f2857e1) 84.66%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #31 +/- ## ========================================== - Coverage 84.87% 84.66% -0.21% ========================================== Files 9 11 +2 Lines 1607 1709 +102 ========================================== + Hits 1364 1447 +83 - Misses 243 262 +19 ``` | [Impacted Files](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None) | Coverage Δ | | |---|---|---| | [src/RobustModels.jl](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL1JvYnVzdE1vZGVscy5qbA==) | `66.66% <ø> (ø)` | | | [src/linpred.jl](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL2xpbnByZWQuamw=) | `82.83% <ø> (-0.38%)` | :arrow_down: | | [src/deprecated.jl](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL2RlcHJlY2F0ZWQuamw=) | `44.44% <44.44%> (ø)` | | | [src/tools.jl](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3Rvb2xzLmps) | `84.37% <84.37%> (ø)` | | | [src/robustlinearmodel.jl](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3JvYnVzdGxpbmVhcm1vZGVsLmps) | `87.78% <89.47%> (-0.25%)` | :arrow_down: | | [src/quantileregression.jl](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3F1YW50aWxlcmVncmVzc2lvbi5qbA==) | `94.41% <93.10%> (+0.47%)` | :arrow_up: | | [src/linresp.jl](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL2xpbnJlc3Auamw=) | `82.90% <95.45%> (-0.61%)` | :arrow_down: | | [src/univariate.jl](https://codecov.io/gh/getzze/RobustModels.jl/pull/31?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3VuaXZhcmlhdGUuamw=) | `94.44% <100.00%> (ø)` | | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None)

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