robmixglm

Robust Generalized Linear Models (GLM) using Mixtures

CRAN Package

Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) doi:10.1080/02664763.2017.1414164. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.


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Insights

Last 30 days

This package has been downloaded 251 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 14 times.

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0 downloadsMar 2, 2025
5 downloadsMar 3, 2025
11 downloadsMar 4, 2025
24 downloadsMar 5, 2025
5 downloadsMar 6, 2025
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4 downloadsMar 8, 2025
1 downloadsMar 9, 2025
5 downloadsMar 10, 2025
7 downloadsMar 11, 2025
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7 downloadsMar 22, 2025
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8 downloadsMar 25, 2025
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27 downloadsMar 28, 2025
2 downloadsMar 29, 2025
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3 downloadsMar 31, 2025
14 downloadsApr 1, 2025
0 downloadsApr 2, 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 3,996 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 72 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


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Dependencies

  • Imports11 packages
  • Suggests4 packages
  • Linking To1 package