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| flowStats-package | Statistical methods for flow cytometry data analysis |
| %in%,flowFrame,lymphFilter-method | Automated gating of elliptical cell populations in 2D. |
| autoGate | Automated gating of single populations in 2D |
| binByRef | Bin a test data set using bins previously created by probability binning a control dataset |
| calcPBChiSquare | Probability binning metirc for comparing the probability binned datasets |
| calcPearsonChi | Pearsons chi-square statistic for comparing the probability binned datasets |
| curvPeaks | Parse curv1Filter output |
| density1d | Find most likely separation between positive and negative populations in 1D |
| flowStats | Statistical methods for flow cytometry data analysis |
| ITN | Sample flow cytometry data |
| landmarkMatrix | Compute and cluster high density regions in 1D |
| lymphFilter | Automated gating of elliptical cell populations in 2D. |
| lymphFilter-class | Automated gating of elliptical cell populations in 2D. |
| lymphGate | Automated gating of elliptical cell populations in 2D. |
| oneDGate | Find most likely separation between positive and negative populations in 1D |
| plotBins | Plots the probability bins overlaid with flowFrame data |
| proBin | Probability binning - a metric for evaluating multivariate differences |
| quadrantGate | Automated quad gating |
| rangeGate | Find most likely separation between positive and negative populations in 1D |
| warpSet | Normalization based on landmark registration |