bigsplines

cranv1.1-1

Smoothing Splines for Large Samples. Fits smoothing spline regression models using scalable algorithms designed for large samples. Seven marginal spline types are supported: linear, cubic, different cubic, cubic periodic, cubic thin-plate, ordinal, and nominal. Random effects and parametric effects are also supported. Response can be G

License GPL (>= 2)0 versions1 maintainers4 deps165 weekly dl
https://CRAN.R-project.org/package=bigsplines
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[email protected] is safe to use (health: 42/100)

Health breakdown0 – 100
0/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2018-05-25 06:50:19

Last updated · 2018-05-25T05:47:54+00:00

bigsplines — Health Score 42/100 | DepScope