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1 year ago Codecov Report
Attention: 1 lines in your changes are missing coverage. Please review.
Comparison is base (
d5f5b0e) 75.68% compared to head (a6b4755) 75.52%.:exclamation: Current head a6b4755 differs from pull request most recent head 742c40a. Consider uploading reports for the commit 742c40a to get more accurate results
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Additional details and impacted files
```diff @@ Coverage Diff @@ ## master #177 +/- ## ========================================== - Coverage 75.68% 75.52% -0.17% ========================================== Files 36 36 Lines 4175 4175 ========================================== - Hits 3160 3153 -7 - Misses 1015 1022 +7 ``` | [Files](https://app.codecov.io/gh/geco-bern/rsofun/pull/177?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None) | Coverage Δ | | |---|---|---| | [src/vegetation\_biomee.mod.f90](https://app.codecov.io/gh/geco-bern/rsofun/pull/177?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3ZlZ2V0YXRpb25fYmlvbWVlLm1vZC5mOTA=) | `57.37% <ø> (ø)` | | | [src/photosynth\_pmodel.mod.f90](https://app.codecov.io/gh/geco-bern/rsofun/pull/177?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3Bob3Rvc3ludGhfcG1vZGVsLm1vZC5mOTA=) | `78.57% <0.00%> (ø)` | | ... and [1 file with indirect coverage changes](https://app.codecov.io/gh/geco-bern/rsofun/pull/177/indirect-changes?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None):umbrella: View full report in Codecov by Sentry.
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Here are the changes suggested by the CRAN reviewers:
.tarfile from 8.9MB to 4.8MB (<5MB required). This included reducing the Vcmax25 example datasets from 72 sites to 4 sites only and updating the related vignettes, documentations and tests.In addition, I updated the Sensitivity Analysis and Bayesian Calibration vignette. Now the description of parameter and model uncertainty matches the explanation from the paper and uses consistent language for the credible and predictive intervals.