Last data update: 2014.03.03

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StandardMeasure (Package: conformal) : Default Nonconformity measure used in regression (ConformalRegression class)

Nonconformity measure used by default in the class ConformalRegression to calculate nonconformity scores (alpha). StandardMeasure implements the following nonconformity measure:
● Data Source: CranContrib
● Keywords:
● Alias: StandardMeasure
● 0 images

LogS (Package: conformal) : Small Molecule Solubility (LogS) Data

Aqueous solubility datas for 1,606 small molecules. PaDEL descriptors have been computed for these molecules. The data has been split into a training (70%) and a test (30%) set.
● Data Source: CranContrib
● Keywords:
● Alias: LogS
● 0 images

ConformalRegression-class (Package: conformal) : Class code{"ConformalRegression"

R reference class to create and visualize confidence intervals for individual predictions according to the conformal prediction framework.
● Data Source: CranContrib
● Keywords:
● Alias: ConformalRegression-class
● 0 images

expGrid (Package: conformal) : Exponential Grid Definition

The function defines an exponential series, which can be used, e.g. when defining the parameter space when training some models such as Support Vector Machines or Gaussian Processes.
● Data Source: CranContrib
● Keywords:
● Alias: expGrid
● 0 images

ErrorModel (Package: conformal) :

This function permits the calculation of an error model from (i) a training set, and (ii) a caret model trained on this set to predict the response variable of interest using cross-validation (point prediction model). The cross-validation predictions are extracted from the point prediction model. The errors in prediction for the cross-validation predictions are then calculated. These errors which serve as the response variable for the error model (i.e. the error model predicts errors in prediction). The error model uses as descriptors the same descriptors used to train the point prediction model. These descriptors are input to the function ErrorModel through the argument "x.train".
● Data Source: CranContrib
● Keywords:
● Alias: ErrorModel
● 0 images

LogSTest (Package: conformal) : Small Molecule Solubility (LogS) Data: solubility values for the datapoints in the test set

Solubility values for the datapoints in the test set.
● Data Source: CranContrib
● Keywords:
● Alias: LogSTest
● 0 images

LogSDescsTest (Package: conformal) : Small Molecule Solubility (LogS) Data: PaDEL descriptors for the test set

PaDEL descriptors have been computed for the test set.
● Data Source: CranContrib
● Keywords:
● Alias: LogSDescsTest
● 0 images

LogSDescsTrain (Package: conformal) : Small Molecule Solubility (LogS) Data: PaDEL descriptors for the taining set

PaDEL descriptors have been computed for the training set.
● Data Source: CranContrib
● Keywords:
● Alias: LogSDescsTrain
● 0 images

ConformalClassification (Package: conformal) : Class Conformal Prediction for Classification

R reference class to calculate p.values for individual predictions according to the conformal prediction framework.
● Data Source: CranContrib
● Keywords:
● Alias: ConformalClassification
● 0 images

conformal (Package: conformal) : conformal: an R package to calculate prediction errors in the conformal prediction framework

conformal permits the calculation of prediction errors in the conformal prediction framework: (i) p.values for classification, and (ii) confidence intervals for regression. The package is coded using R reference classes (OOP).
● Data Source: CranContrib
● Keywords:
● Alias: conformal, conformal-package
● 0 images