hsloot / rmo

An R package for Marshall--Olkin distributions and copulas.
https://hsloot.github.io/rmo/
GNU General Public License v3.0
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test: remove Bernstein function fuzzing (close #111) #112

Closed hsloot closed 1 year ago

hsloot commented 1 year ago

Related issues

Closes/Fixes #111

Checklist

codecov[bot] commented 1 year ago

Codecov Report

Base: 90.85% // Head: 90.91% // Increases project coverage by +0.05% :tada:

Coverage data is based on head (22859e3) compared to base (3938760). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #112 +/- ## ========================================== + Coverage 90.85% 90.91% +0.05% ========================================== Files 43 43 Lines 1433 1442 +9 ========================================== + Hits 1302 1311 +9 Misses 131 131 ``` | [Impacted Files](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot) | Coverage Δ | | |---|---|---| | [R/s4-AlphaStableBernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1BbHBoYVN0YWJsZUJlcm5zdGVpbkZ1bmN0aW9uLlI=) | `80.00% <100.00%> (ø)` | | | [R/s4-BernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1CZXJuc3RlaW5GdW5jdGlvbi5S) | `100.00% <100.00%> (ø)` | | | [R/s4-CompositeScaledBernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1Db21wb3NpdGVTY2FsZWRCZXJuc3RlaW5GdW5jdGlvbi5S) | `42.85% <100.00%> (ø)` | | | [R/s4-ConstantBernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1Db25zdGFudEJlcm5zdGVpbkZ1bmN0aW9uLlI=) | `76.19% <100.00%> (ø)` | | | [R/s4-ConvexCombinationOfBernsteinFunctions.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1Db252ZXhDb21iaW5hdGlvbk9mQmVybnN0ZWluRnVuY3Rpb25zLlI=) | `62.50% <100.00%> (ø)` | | | [R/s4-ExponentialBernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1FeHBvbmVudGlhbEJlcm5zdGVpbkZ1bmN0aW9uLlI=) | `80.00% <100.00%> (ø)` | | | [R/s4-GammaBernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1HYW1tYUJlcm5zdGVpbkZ1bmN0aW9uLlI=) | `80.00% <100.00%> (ø)` | | | [R/s4-InverseGaussianBernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1JbnZlcnNlR2F1c3NpYW5CZXJuc3RlaW5GdW5jdGlvbi5S) | `80.00% <100.00%> (ø)` | | | [R/s4-LinearBernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1MaW5lYXJCZXJuc3RlaW5GdW5jdGlvbi5S) | `78.26% <100.00%> (ø)` | | | [R/s4-ParetoBernsteinFunction.R](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot#diff-Ui9zNC1QYXJldG9CZXJuc3RlaW5GdW5jdGlvbi5S) | `76.00% <100.00%> (ø)` | | | ... and [3 more](https://codecov.io/gh/hsloot/rmo/pull/112?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Henrik+Sloot) | | 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=Henrik+Sloot). 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=Henrik+Sloot)

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