Plot for 1- to 3-dimensional normal and t-mixture density functions.

1 2 |

`mus` |
(stacked) matrix of mean vectors |

`sigmas` |
vector of standard deviations (1-d) |

`Sigmas` |
(stacked) matrix of variance matrices (2-d, 3-d) |

`props` |
vector of mixing proportions |

`dfs` |
vector of degrees of freedom |

`dist` |
"normal" - normal mixture, "t" - t-mixture |

`draw` |
flag to draw plot. Default is TRUE. |

`deriv.order` |
derivative order |

`which.deriv.ind` |
index of which partial derivative to plot |

`binned` |
flag for binned estimation of contour levels. Default is TRUE. |

`...` |
other graphics parameters, see |

If `draw=TRUE`

, the 1-d, 2-d plot is sent to graphics window, 3-d plot to RGL window.
If `draw=FALSE`

, then a `kdde`

-like object is returned.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
## bivariate
mus <- rbind(c(0,0), c(-1,1))
Sigma <- matrix(c(1, 0.7, 0.7, 1), nr=2, nc=2)
Sigmas <- rbind(Sigma, Sigma)
props <- c(1/2, 1/2)
plotmixt(mus=mus, Sigmas=Sigmas, props=props, display="filled.contour2")
## trivariate
mus <- rbind(c(0,0,0), c(-1,0.5,1.5))
Sigma <- matrix(c(1, 0.7, 0.7, 0.7, 1, 0.7, 0.7, 0.7, 1), nr=3, nc=3)
Sigmas <- rbind(Sigma, Sigma)
props <- c(1/2, 1/2)
plotmixt(mus=mus, Sigmas=Sigmas, props=props, dfs=c(11,8), dist="t")
``` |

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