barplot_prop |
Function to display a bland plot in order to visually assess the agreement between CytOpt estimation of the class proportions and the estimate of the class proportions provided through manual gating. |

Bland_Altman |
Bland & Altman plot |

CytOpT |
Function to estimate the type cell proportions in an unclassified cytometry data set denoted X_s by using the classification Lab_source from an other cytometry data set X_s. With this function the computation of the estimate of the class proportions is done with a descent ascent or minmax or two algorithms. |

cytopt_desasc_r |
Function to estimate the type cell proportions in an unclassified cytometry data set denoted X_s by using the classification Lab_source from an other cytometry data set X_s. With this function the computation of the estimate of the class proportions is done with a descent ascent algorithm. |

cytopt_minmax_r |
Function to estimate the type cell proportions in an unclassified cytometry data set denoted X_s by using the classification Lab_source from an other cytometry data set X_s. With this function an additional regularization parameter on the class proportions enables a faster computation of the estimator. |

HIPC_Stanford |
HIPC_Stanford data |

HIPC_Stanford_1228_1A |
HIPC_Stanford data |

HIPC_Stanford_1228_1A_labels |
HIPC_Stanford data |

HIPC_Stanford_1369_1A |
HIPC_Stanford data |

HIPC_Stanford_1369_1A_labels |
HIPC_Stanford data |

KL_plot |
Kullback-Leibler divergence plot |

Label_Prop_sto_r |
Computes a classification on the target data |

plot.CytOpt |
CytOpt plot |

print.CytOpt |
CytOpt print |

print.summary.CytOpt |
CytOpt print summary |

summary.CytOpt |
CytOpt summary |