Package index

All functions

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.

HIPC_Stanford

HIPC_Stanford data

KL_plot()

Kullback-Leibler divergence plot

Label_Prop_sto_r()

Computes a classification on the target data

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.

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.

plot(<CytOpt>)

CytOpt plot

print(<CytOpt>)

CytOpt print

print(<summary.CytOpt>)

CytOpt print summary

summary(<CytOpt>)

CytOpt summary