I have implemented in both python and R two papers for estimating subgroup means under misclassification, which are useful for data analyses. T. K. MAK, W. K. LI, A new method for estimating subgroup means under misclassification, Biometrika, Volume 75, Issue 1, March 1988, Pages 105–111, https//doi.org/10.1093/biomet/75.1.105 Selén, Jan. “Adjusting for Errors in Classification and Measurement in the Analysis of Partly and Purely Categorical Data.” Journal of the American Statistical Association, vol. 81, no. 393, 1986, pp. 75–81. JSTOR, www.jstor.org/stable/2287969. Accessed 10 Aug. 2020.
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| Main Code: 203 LOC (6 files) = PY (64%) + R (35%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 2,070 LOC (8); |
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| Duplication: 7% | |||
| File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC) | |||
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| Conditional Complexity: 0% complex (McCabe index > 50), 0% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (3 components) | ||
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1 year, 4 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-11-12
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