Smoothing Splines for Large Samples
Fits Smoothing Spline
Internal functions for big splines package
tools:::Rd_package_title("bigsplines")
Fits Smoothing Spline ANOVA Models
Fits Generalized Smoothing Spline ANOVA Models
Fits Smoothing Splines with Parametric Effects
Fits Cubic Thin-Plate Splines
Bin-Samples Strategic Knot Indices
Displays a Color Image with Colorbar
Makes Objects to Fit Smoothing Spline ANOVA Models
Makes Objects to Fit Generalized Smoothing Spline ANOVA Models
Makes Objects to Fit Smoothing Splines with Parametric Effects
Fits Ordinal Smoothing Spline
Generic X-Y Plotting with Colorbar
Generic X-Y Plotting with Confidence Intervals
Predicts for "bigspline" Objects
Predicts for "bigssa" Objects
Predicts for "bigssg" Objects
Predicts for "bigssp" Objects
Predicts for "bigtps" Objects
Predicts for "ordspline" Objects
Prints Fit Information for bigsplines Model
Smoothing Spline Basis for Polynomial Splines
Summarizes Fit Information for bigsplines Model
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.