sparsenet
cranv1.7Fit Sparse Linear Regression Models via Nonconvex Optimization. Efficient procedure for fitting regularization paths between L1 and L0, using the MC+ penalty of Zhang, C.H. (2010)<doi:10.1214/09-AOS729>. Implements the methodology described in Mazumder, Friedman and Hastie (2011) <DOI: 10.1198/jasa.2011.tm09738>. Sparsenet computes the regularization surface ove
License GPL-2strong copyleft0 versions1 maintainers3 deps128 weekly dl
https://CRAN.R-project.org/package=sparsenet41
/ 100
Health
safe to use
[email protected] is safe to use (health: 41/100)
Health breakdown0 – 100
5/25
maintenance
3/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known
Health History
Dependency Tree
License Audit
API access
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/cran/sparsenetFirst published · 2024-11-16 22:46:15
Last updated · 2024-11-16T21:30:02+00:00