Repair CDAP estimation #1026
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Repair CDAP estimation #1026
+14,688
−2,726
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dhensle
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Dec 18, 2025
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Fix looks good. Suggest we add more detail to the change log, and one minor typo to fix.
| coef_N_88,-0.05952606764773704,-0.05952606764773704,0.87709999999999999,0 | ||
| coef_N_xxx,-0.89914972777069246,-0.89914972777069246,-0.36530000000000001,0 | ||
| coef_N_xxxx,-0.72130413279127681,-0.72130413279127681,-1.3460000000000001,0 | ||
| coef_N_xxxxx,-6.6290578146794195,-6.6290578146794195,-3.4529999999999998,0 |
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Happy to see the additional coef_xxx and coef_xxxx coefficients. All these coefficients across M,N, and H make a lot more sense now with a strong negative coefficient for everyone in a 5-person household doing the same thing.
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This pull request fixes an error in Larch estimation of the CDAP model, reported in #595. There was a bug in the code, where interaction terms for 3, 4, and 5 person households adopting an all-M, all-N, or all-H patterns were all mapped to the same coefficient; the original model structure has unique parameters for each household size. [1] [2]
Testing and validation
test_cdap_modeltest to include assertions verifying the correct assignment of interaction parameters, specifically checking the presence and absence of wildcard coefficients for different model sizes.test_cdap_model_loglike.csvto reflect changes in log-likelihood values resulting from the repaired coefficient mapping logic.