SAM
Sparse Additive Modelling
Computationally efficient tools for high dimensional predictive modeling (regression and classification). SAM is short for sparse additive modeling, and adopts the computationally efficient basis spline technique. We solve the optimization problems by various computational algorithms including the block coordinate descent algorithm, fast iterative soft-thresholding algorithm, and newton method. The computation is further accelerated by warm-start and active-set tricks.
- Version1.1.3
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Reference manual
- Last release07/01/2021
Team
Haoming Jiang
Xingguo Li
Tuo Zhao
Han Liu
Kathryn Roeder
Yukun Ma
Insights
Last 30 days
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
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
- Imports1 package
- Linking To2 packages
- Reverse Imports4 packages