Plots the distribution of non-rejection rates.

1 2 |

`nrrMatrix` |
matrix of non-rejection rates. |

`A` |
adjacency matrix of an undirected graph whose present and missing edges will be employed to show separately the distribution of non-rejection rates. |

`titlehist` |
main title of the histogram(s). |

`freq` |
logical; if TRUE, the histograms show frequencies (counts) of occurrence of the different non-rejection rate values; if FALSE, then probability densities are plotted |

This function plots histograms using the R-function `hist`

and therefore
the way they are displayed follows that of this R-function.

None

R. Castelo and A. Roverato

Castelo, R. and Roverato, A. A robust procedure for
Gaussian graphical model search from microarray data with p larger than n,
*J. Mach. Learn. Res.*, 7:2621-2650, 2006.

`qpNrr`

`qpAvgNrr`

`qpEdgeNrr`

`qpGraphDensity`

`qpClique`

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
require(mvtnorm)
nVar <- 50 ## number of variables
maxCon <- 5 ## maximum connectivity per variable
nObs <- 30 ## number of observations to simulate
A <- qpRndGraph(p=nVar, d=maxCon)
Sigma <- qpG2Sigma(A, rho=0.5)
X <- rmvnorm(nObs, sigma=as.matrix(Sigma))
nrr.estimates <- qpNrr(X, q=5, verbose=FALSE)
qpHist(nrr.estimates, A)
``` |

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