bigsplines
cranv1.1-1Smoothing 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=bigsplines42
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curl https://depscope.dev/api/check/cran/bigsplinesFirst published · 2018-05-25 06:50:19
Last updated · 2018-05-25T05:47:54+00:00