scPred - Single cell prediction using singular value decomposition and machine learning classification

Documentation for package ‘scPred’ version 0.0.0.9000

crossTab	Gets contingency table
crossTab-method	Gets contingency table
eigenDecompose	Eigendecompose gene expression matrix
getAccuracy	Get accuracy
getAccuracy-method	Get accuracy
getFeatureSpace	Get informative principal components
getLoadings	Get loadings matrix
getLoadings-method	Get loadings matrix
getPCA	Get principal components
getPCA-method	Get principal components
getPredictions	Get predictions
getPredictions-method	Get training probabilities
getTrainPred	Get training predictions
getTrainResults	Get training probabilities
getTrainResults-method	Get training probabilities
metadata	Get metadata
metadata<-	Set metadata
plotEigen	Plot PCA
plotEigen-method	Plot PCA
plotExp	Plot gene expression data
plotExp-method	Plot gene expression data
plotLoadings	Plot loadings
plotLoadings-method	Plot loadings
plotPredProbs	Plot prediction probabilities
plotPredProbs-method	Plot prediction probabilities
plotTrainProbs	Plot training probabilities for all models
processPreds	Prepare and tidy prediction results
projectNewData	Project new data onto training principal components
scPred	Definition of 'scPred' class
scPred-class	Definition of 'scPred' class
scPredict	Predict cell classes from a new dataset using a trained model
show-method	show
trainModel	Train a prediction model