misclassGLM
Computation of Generalized Linear Models with Misclassified Covariates Using Side Information
Estimates models that extend the standard GLM to take misclassification into account. The models require side information from a secondary data set on the misclassification process, i.e. some sort of misclassification probabilities conditional on some common covariates. A detailed description of the algorithm can be found in Dlugosz, Mammen and Wilke (2015) <https://ftp.zew.de/pub/zew-docs/dp/dp15043.pdf>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.6 |
rolling linux/jammy R-4.5 | misclassGLM_0.3.6.tar.gz |
108.3 KiB |
0.3.6 |
rolling linux/noble R-4.5 | misclassGLM_0.3.6.tar.gz |
108.8 KiB |
0.3.6 |
rolling source/ R- | misclassGLM_0.3.6.tar.gz |
19.6 KiB |
0.3.6 |
latest linux/jammy R-4.5 | misclassGLM_0.3.6.tar.gz |
108.3 KiB |
0.3.6 |
latest linux/noble R-4.5 | misclassGLM_0.3.6.tar.gz |
108.8 KiB |
0.3.6 |
latest source/ R- | misclassGLM_0.3.6.tar.gz |
19.6 KiB |
0.3.6 |
2026-04-26 source/ R- | misclassGLM_0.3.6.tar.gz |
19.6 KiB |
0.3.6 |
2026-04-23 source/ R- | misclassGLM_0.3.6.tar.gz |
19.6 KiB |
0.3.6 |
2026-04-09 windows/windows R-4.5 | misclassGLM_0.3.6.zip |
115.4 KiB |
0.3.5 |
2025-04-20 source/ R- | misclassGLM_0.3.5.tar.gz |
18.7 KiB |