print {bigsplines} | R Documentation |
This function prints basic model fit information for a fit bigsplines
model.
## 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 'ordspline' 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,...)
x |
Object of class "bigspline" (output from |
digits |
Number of decimal places to print. |
... |
Ignored. |
See bigspline
, bigssa
, bigssg
, bigssp
, bigtps
, and ordspline
for more details.
"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.
"ordspline" objects: prints Monotonic, Fit Statistic information, and Smoothing Parameter.
Nathaniel E. Helwig <helwig@umn.edu>
### see examples for bigspline, bigssa, bigssg, bigssp, bigtps, and ordspline