SpatMCA

cranv1.0.7

Regularized Spatial Maximum Covariance Analysis. Provide regularized maximum covariance analysis incorporating smoothness, sparseness and orthogonality of couple patterns by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D (Wang and

License GPL (>= 2)0 versions1 maintainers4 deps64 weekly dl
egpivo/SpatMCA
37
/ 100
Health
use with caution

[email protected] low health (37/100) — consider alternatives

  • Low health score (37/100)
Health breakdown0 – 100
10/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (4)
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/SpatMCA

First published · 2025-09-29 15:51:49

Last updated · 2025-09-29T14:40:02+00:00

SpatMCA — Health Score 37/100 | DepScope