misclassGLM

Computation of Generalized Linear Models with Misclassified Covariates Using Side Information

CRAN Package

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://www.zew.de/publikationen/generalised-partially-linear-regression-with-misclassified-data-and-an-application-to-labour-market-transitions.

  • Version0.3.5
  • R version≥ 3.0.0
  • LicenseGPL-3
  • Needs compilation?Yes
  • Last release11/19/2023

Documentation


Team


Insights

Last 30 days

This package has been downloaded 150 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.

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0 downloadsMar 2, 2025
2 downloadsMar 3, 2025
14 downloadsMar 4, 2025
12 downloadsMar 5, 2025
3 downloadsMar 6, 2025
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4 downloadsMar 10, 2025
10 downloadsMar 11, 2025
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2 downloadsMar 25, 2025
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4 downloadsMar 27, 2025
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2 downloadsMar 31, 2025
6 downloadsApr 1, 2025
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0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,154 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 26 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports6 packages