Extract Stored Fitted Values and Response Residuals

Use fitted(object) for the stored response-scale fitted values, preserving vector or matrix shape, row order, names, and missing values. It does not recompute a fit or imply prediction at new points. For harmonic.smoother() results it returns harmonic_predictions. The basic perform.harmonic.smoothing() result remains an unclassed list, accessed through $harmonic_predictions; density probability masses remain $rho.

Usage

# S3 method for class 'lps'
fitted(object, ...)

# S3 method for class 'lps'
residuals(object, ...)

# S3 method for class 'malps'
fitted(object, ...)

# S3 method for class 'malps'
residuals(object, ...)

# S3 method for class 'ps_lps'
fitted(object, ...)

# S3 method for class 'ps_lps'
residuals(object, ...)

# S3 method for class 'chart_kernel'
fitted(object, ...)

# S3 method for class 'chart_kernel'
residuals(object, ...)

# S3 method for class 'local_likelihood'
fitted(object, ...)

# S3 method for class 'local_likelihood'
residuals(object, ...)

# S3 method for class 'lpl_tf'
fitted(object, ...)

# S3 method for class 'lpl_tf'
residuals(object, ...)

# S3 method for class 'slpl_tf'
fitted(object, ...)

# S3 method for class 'slpl_tf'
residuals(object, ...)

# S3 method for class 'metric.graph.lowpass.fit'
fitted(object, ...)

# S3 method for class 'metric.graph.lowpass.fit'
residuals(object, ...)

# S3 method for class 'metric.graph.lowpass.refit'
fitted(object, ...)

# S3 method for class 'metric.graph.lowpass.refit'
residuals(object, ...)

# S3 method for class 'ssrhe.hessian.fit'
fitted(object, ...)

# S3 method for class 'ssrhe.hessian.fit'
residuals(object, ...)

# S3 method for class 'ssrhe.hessian.refit'
fitted(object, ...)

# S3 method for class 'ssrhe.hessian.refit'
residuals(object, ...)

# S3 method for class 'ssrhe.hessian.l1.fit'
fitted(object, ...)

# S3 method for class 'ssrhe.hessian.l1.fit'
residuals(object, ...)

# S3 method for class 'graph.trend.filtering.fit'
fitted(object, ...)

# S3 method for class 'graph.trend.filtering.fit'
residuals(object, ...)

# S3 method for class 'pttf.trend.filtering.fit'
fitted(object, ...)

# S3 method for class 'pttf.trend.filtering.fit'
residuals(object, ...)

# S3 method for class 'harmonic_smoother'
fitted(object, ...)

Arguments

object: A supported fitted model; see Methods below.
...: Reserved; unused arguments are rejected.

Value

The stored vector or matrix, or response residuals of the same shape.

Details

residuals(object) returns stored response residuals where available, including missing-label masks. Otherwise it computes y - fitted.values only when the evaluation coordinates equal the training coordinates. Residuals at different evaluation points are undefined and cause an error, even when training and evaluation have the same number of rows. Binomial residuals are on the response (probability) scale, not Pearson or deviance residuals. These accessors do not change which refit results are reusable.

Examples

X <- matrix(seq(0, 1, length.out = 20), ncol = 1)
model <- fit.malps(X, X[, 1]^2, degree = 1L,
                   support.type = "knn", support.size = 8L)
head(fitted(model))
#> [1] -0.011878001  0.001253097  0.014713513  0.029752682  0.047433476
#> [6]  0.068993593
head(residuals(model))
#> [1]  0.0118780010  0.0015169866 -0.0036331804 -0.0048219340 -0.0031121466
#> [6]  0.0002584847