Man pages for PNNL-Comp-Mass-Spec/glmnetGLR
glmnetGLR
| accuracy | Computes classification accuracy from the confusion matrix... |
| as.numeric.silent | Silent wrapper for coercing a vector to numeric |
| calcLoss | Calculate the loss of a classifier using discrete loss matrix |
| confusion | Computes the confusion summary for a vector of... |
| elasticNet | A trained elastic net logistic regression classifier |
| factor2character | Converts all factor variables in a dataframe to character... |
| glmnetGLRlicense | Open text version of public domain license |
| glmnetGLRpredSummary | Calculate a set of metrics to assess the performance of the... |
| list2df | Convert a list to a data frame |
| lossMatrix | Build a loss matrix |
| parseJob | Parses a collection of elements into (almost) equal sized... |
| prediction_values | Test data produced by 'predict' |
| predLossLLRC | Prediction function for the LLRC for a variety of thresholds... |
| pvar | Prints the name and value of one or more objects |
| sensitivity | Computes classification sensitivity from the confusion matrix... |
| sort.data.frame | Sorts a dataframe by one or more variables |
| specificity | Computes classification specificity from the confusion matrix... |
| testdata | Validation data set for the VOrbitrap machine |
| traindata | The training data set for the Vorbitrap mass spectrometry... |
| trainGLR | Train an elastic net logistic regression classifier |
| trainLLRC | Train an elastic net logistic regression classifier |
