ucpm
(Package: klaR) :
Uschi's classification performance measures
Function to calculate the Correctness Rate, the Accuracy, the Ability to Seperate and the Confidence of a classification rule.
● Data Source:
CranContrib
● Keywords: classif
● Alias: ucpm
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hmm.sop
(Package: klaR) :
Calculation of HMM Sum of Path
A Hidden Markov Model for the classification of states in a time series. Based on the transition probabilities and the so called emission probabilities (p(class|x)) the ‘prior probablilities’ of states (classes) in time period t given all past information in time period t are calculated.
● Data Source:
CranContrib
● Keywords: classif, ts
● Alias: hmm.sop
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centerlines
(Package: klaR) :
Lines from classborders to the center
Function which constructs the lines from the borders between two classes to the center. To be used in connection with triplot and quadplot.
● Data Source:
CranContrib
● Keywords: classif, dplot
● Alias: centerlines
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plot.woe
(Package: klaR) :
Plot information values
Barplot of information values to compare dicriminator of the transformed variables.
● Data Source:
CranContrib
● Keywords: classif, multivariate
● Alias: plot.woe
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distmirr
(Package: klaR) :
Internal function to convert a distance structure to a matrix
For internal use only.
● Data Source:
CranContrib
● Keywords: internal
● Alias: distmirr
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classscatter
(Package: klaR) :
Classification scatterplot matrix
Function to plot a scatterplot matrix with a classification result.
● Data Source:
CranContrib
● Keywords: classif, dplot
● Alias: classscatter
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dkernel
(Package: klaR) :
Estimate density of a given kernel
Given an estimated kernel density this function estimates the density of a new vector.
● Data Source:
CranContrib
● Keywords: distribution, nonparametric
● Alias: dkernel
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predict.locpvs
(Package: klaR) :
predict method for locpvs objects
Prediction of class membership and posterior probabilities in local models using pairwise variable selection.
● Data Source:
CranContrib
● Keywords: classif
● Alias: predict.locpvs
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sknn
(Package: klaR) :
Simple k nearest Neighbours
Function for simple knn classification.
● Data Source:
CranContrib
● Keywords: classif
● Alias: sknn, sknn.data.frame, sknn.default, sknn.formula, sknn.matrix
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meclight.default
(Package: klaR) :
Minimal Error Classification
Computer intensive method for linear dimension reduction that minimizes the classification error directly.
● Data Source:
CranContrib
● Keywords: classif
● Alias: meclight, meclight.data.frame, meclight.default, meclight.formula, meclight.matrix, print.meclight
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