R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 10 of 18 found.
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cvTools-package (Package: cvTools) : Cross-validation tools for regression models

Tools that allow developers to write functions for cross-validation with minimal programming effort and assist users with model selection.

● Data Source: CranContrib
● Keywords: package
● Alias: cvTools, cvTools-package
● 0 images

subset.cv (Package: cvTools) : Subsetting cross-validation results

Extract subsets of results from (repeated) K-fold cross-validation.

● Data Source: CranContrib
● Keywords: utilities
● Alias: subset.cv, subset.cvSelect
● 0 images

cost (Package: cvTools) : Prediction loss

Compute the prediction loss of a model.

● Data Source: CranContrib
● Keywords: utilities
● Alias: cost, mape, mspe, rmspe, rtmspe, tmspe
● 0 images

cvFit (Package: cvTools) : Cross-validation for model evaluation

Estimate the prediction error of a model via (repeated) K-fold cross-validation. It is thereby possible to supply an object returned by a model fitting function, a model fitting function itself, or an unevaluated function call to a model fitting function.

● Data Source: CranContrib
● Keywords: utilities
● Alias: cvFit, cvFit.call, cvFit.default, cvFit.function, print.cv
● 0 images

accessors (Package: cvTools) : Access or set information on cross-validation results

Retrieve or set the names of cross-validation results, retrieve or set the identifiers of the models, or retrieve the number of cross-validation results or included models.

● Data Source: CranContrib
● Keywords: utilities
● Alias: accessors, cvNames, cvNames<-, fits, fits<-, ncv, nfits
● 0 images

cvTuning (Package: cvTools) : Cross-validation for tuning parameter selection

Select tuning parameters of a model by estimating the respective prediction errors via (repeated) K-fold cross-validation. It is thereby possible to supply a model fitting function or an unevaluated function call to a model fitting function.

● Data Source: CranContrib
● Keywords: utilities
● Alias: cvTuning, cvTuning.call, cvTuning.function, print.cvTuning
● 0 images

xyplot.cv (Package: cvTools) : X-Y plots of cross-validation results

Plot the (average) results from (repeated) K-fold cross-validation on the y-axis against the respective models on the x-axis.

● Data Source: CranContrib
● Keywords: hplot
● Alias: xyplot.cv, xyplot.cvSelect, xyplot.cvTuning
● 0 images

summary.cv (Package: cvTools) : Summarize cross-validation results

Produce a summary of results from (repeated) K-fold cross-validation.

● Data Source: CranContrib
● Keywords: utilities
● Alias: summary.cv, summary.cvSelect, summary.cvTuning
● 0 images

aggregate.cv (Package: cvTools) : Aggregate cross-validation results

Compute summary statistics of results from repeated K-fold cross-validation.

● Data Source: CranContrib
● Keywords: utilities
● Alias: aggregate.cv, aggregate.cvSelect, aggregate.cvTuning
● 0 images

plot.cv (Package: cvTools) : Plot cross-validation results

Plot results from (repeated) K-fold cross-validation.

● Data Source: CranContrib
● Keywords: hplot
● Alias: plot.cv, plot.cvSelect
● 0 images