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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 Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse Gaussian, or Negative Binomial.
Package details |
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Author | Nathaniel E. Helwig <helwig@umn.edu> |
Maintainer | Nathaniel E. Helwig <helwig@umn.edu> |
License | GPL (>= 2) |
Version | 1.1-1 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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