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Print concise summaries for fitted geosmooth models and constructed operators.

Usage

# S3 method for class 'graph.trend.filtering.fit'
print(x, ...)

# S3 method for class 'lpl_tf_operator'
print(x, ...)

# S3 method for class 'lps'
print(x, ...)

# S3 method for class 'malps'
print(x, ...)

# S3 method for class 'malps_bootstrap'
print(x, ...)

# S3 method for class 'metric.graph.lowpass.fit'
print(x, ...)

# S3 method for class 'metric.graph.lowpass.refit'
print(x, ...)

# S3 method for class 'pttf.trend.filtering.fit'
print(x, ...)

# S3 method for class 'pttf_operator'
print(x, ...)

# S3 method for class 'slpl_tf_operator'
print(x, ...)

# S3 method for class 'ssrhe.hessian.operator'
print(x, ...)

# S3 method for class 'ssrhe.hessian.l1.fit'
print(x, ...)

# S3 method for class 'ssrhe.hessian.fit'
print(x, ...)

# S3 method for class 'ssrhe.hessian.refit'
print(x, ...)

# S3 method for class 'ssrhe.hessian.cv.fit'
print(x, ...)

# S3 method for class 'ssrhe.hessian.gcv.fit'
print(x, ...)

# S3 method for class 'transported.graph.hessian.operator'
print(x, ...)

Arguments

x

A geosmooth S3 object.

...

Additional arguments, currently ignored.

Value

Invisibly returns x.

Examples

X <- matrix(seq(0, 1, length.out = 12), ncol = 1)
fit <- fit.lps(X, sin(2 * pi * X[, 1]), support.grid = 6L)
print(fit)
#> Local polynomial smoother (LPS) fit
#>   observations: 12 
#>   coordinate method: coordinates 
#>   backend: R 
#>   selected support.size: 6 
#>   selected degree: 2 
#>   selected kernel: tricube 
#>   selected CV RMSE: 0.067414