Prints Fit Information for bigsplines Model

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Description

This function prints basic model fit information for a fit bigsplines model.

Usage

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## S3 method for class 'bigspline'
print(x,...)
## S3 method for class 'bigssa'
print(x,...)
## S3 method for class 'bigssg'
print(x,...)
## S3 method for class 'bigssp'
print(x,...)
## S3 method for class 'bigtps'
print(x,...)
## S3 method for class 'summary.bigspline'
print(x,digits=4,...)
## S3 method for class 'summary.bigssa'
print(x,digits=4,...)
## S3 method for class 'summary.bigssg'
print(x,digits=4,...)
## S3 method for class 'summary.bigssp'
print(x,digits=4,...)
## S3 method for class 'summary.bigtps'
print(x,digits=4,...)

Arguments

x

Object of class "bigspline" (output from bigspline), class "summary.bigspline" (output from summary.bigspline), class "bigssa" (output from bigssa), class "summary.bigssa" (output from summary.bigssa), class "bigssg" (output from bigssg), class "summary.bigssg" (output from summary.bigssg), class "bigssp" (output from bigssp), class "summary.bigssp" (output from summary.bigssp), class "bigtps" (output from bigtps), class "summary.bigtps" (output from summary.bigtps).

digits

Number of decimal places to print.

...

Ignored.

Details

See bigspline, bigssa, bigssg, bigssp, and bigtps for more details.

Value

"bigspline" objects: prints Spline Type, Fit Statistic information, and Smoothing Parameter.

"summary.bigspline" objects: prints Spline Type, five number summary of Residuals, Error Standard Deviation Estimate, Fit Statistics, and Smoothing Parameter.

"bigssa" objects: prints Spline Types, Fit Statistic information, and Algorithm Convergence status.

"summary.bigssa" objects: prints the formula Call, five number summary of Residuals, Error Standard Deviation Estimate, Fit Statistics, and Smoothing Parameters.

"bigssg" objects: prints Family, Spline Types, Fit Statistic information, and Algorithm Convergence status.

"summary.bigssg" objects: prints the Family, formula Call, five number summary of Residuals, Dispersion Estimate, Fit Statistics, and Smoothing Parameters (with selection criterion).

"bigssp" objects: prints Predictor Types, Fit Statistic information, and Algorithm Convergence status.

"summary.bigssp" objects: prints formula Call, five number summary of Residuals, Error Standard Deviation Estimate, Fit Statistics, and Smoothing Parameters.

"bigtps" objects: prints Spline Type, Fit Statistic information, and Smoothing Parameter.

"summary.bigtps" objects: prints Spline Type, five number summary of Residuals, Error Standard Deviation Estimate, Fit Statistics, and Smoothing Parameter.

Author(s)

Nathaniel E. Helwig <helwig@umn.edu>

Examples

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### see examples for bigspline, bigssa, bigssg, bigssp, and bigtps