islasso
The Induced Smoothed Lasso
An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper; see doi:10.1177/0962280219842890 and discussed in a tutorial doi:10.13140/RG.2.2.16360.11521.
- Version1.5.2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- islasso citation info
- Last release01/23/2024
Documentation
Team
Gianluca Sottile
Giovanna Cilluffo
Show author detailsRolesAuthor, ContributorVito MR Muggeo
Show author detailsRolesAuthor, Contributor
Insights
Last 30 days
This package has been downloaded 434 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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 5,362 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Oct 24, 2024 with 64 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
- Depends2 packages
- Suggests4 packages