gamlss
Generalized Additive Models for Location Scale and Shape
Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), doi:10.1111/j.1467-9876.2005.00510.x. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.
- Version5.4-22
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- gamlss citation info
- Last release03/20/2024
Documentation
Team
Mikis Stasinopoulos
Achim Zeileis
Show author detailsRolesContributorMarco Enea
Show author detailsRolesContributorRobert Rigby
Vlasios Voudouris
Show author detailsRolesContributorDaniil Kiose
Calliope Akantziliotou
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 15,600 times in the last 30 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 550 times.
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Last 365 days
This package has been downloaded 253,490 times in the last 365 days. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The day with the most downloads was Oct 02, 2024 with 1,596 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.
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Dependencies
- Depends3 packages
- Imports2 packages
- Suggests1 package
- Reverse Depends17 packages
- Reverse Imports20 packages
- Reverse Suggests12 packages
- Reverse Enhances2 packages