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Showing results 1 to 10 of 448.
Function classCenter [iRF v2.0.0]
- keywords
- classif
- title
- Prototypes of groups.
- description
- Prototypes are `representative' cases of a group of data points, given the similarity matrix among the points. They are very similar to medoids. The function is named `classCenter' to avoid conflict with the function prototype in the methods package.
Function margin [iRF v2.0.0]
- keywords
- classif
- title
- Margins of randomForest Classifier
- description
- Compute or plot the margin of predictions from a randomForest classifier.
Function outlier [iRF v2.0.0]
- keywords
- classif
- title
- Compute outlying measures
- description
- Compute outlying measures based on a proximity matrix.
Function rfNews [iRF v2.0.0]
- keywords
- classif
- title
- Show the NEWS file
- description
- Show the NEWS file of the randomForest package.
Function roc.curve [PRROC v1.3.1]
- keywords
- classif
- title
- ROC curve
- description
- Computes the area under the receiver operating characteristics (ROC) curve for weighted and unweighted data. In addition to the area under the curve, the curve can be obtained by setting argument curve to TRUE.
Function pr.curve [PRROC v1.3.1]
- keywords
- classif
- title
- PR curve
- description
- Computes the area under the precision-recall (PR) curve for weighted and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the area under the curve, the curve itself can be obtained by setting argument curve to TRUE.
Function run_signalHsmm [signalHsmm v1.5]
- keywords
- classif
- title
- Predict presence of signal peptide in protein
- description
- Using the hidden semi-Markov model predict presence of signal peptide in eukaryotic proteins.
Function ldfactorial [phangorn v2.5.5]
- keywords
- classif
- title
- Arithmetic Operators
- description
- double factorial function
Function treedist [phangorn v2.5.5]
- keywords
- classif
- title
- Distances between trees
- description
- treedist computes different tree distance methods and RF.dist the Robinson-Foulds or symmetric distance. The Robinson-Foulds distance only depends on the toplogy of the trees. If edge weights should be considered wRF.dist calculates the weighted RF distance (Robinson & Foulds 1981). and KF.dist calculates the branch score distance (Kuhner & Felsenstein 1994). path.dist computes the path difference metric as described in Steel and Penny 1993). sprdist computes the approximate SPR distance (Oliveira Martins et al. 2008, de Oliveira Martins 2016).
Function balancedSplit [CrossValidate v2.3.4]
- keywords
- classif
- title
- Split a dataset into training and testing sets, balancing a factor
- description
- When performing cross-validation on a dataset, it often becomes necessary to split the data into training and test sets that are balanced for a factor. This function implements such a balanced split.