Description Usage Arguments Details Value Author(s) References Examples

`plot`

method for class `"dlc"`

.
Three plots (selectable by `which`

) are currently available: a plot of the estimated density,
the estimated log-density, or the distribution function corresponding to the estimated log-concave density.
By default, a plot of the density estimate is provided. If `smoothed = TRUE`

, the smoothed version of
the log-concave density estimate (saved in `x`

) is added to the density and log-density plot.
For the CDF, the smoothed version is not contained by default in a `dlc`

object and needs to be computed
when asked to be plotted.

1 2 3 |

`x` |
An object of class |

`which` |
One of |

`add.title` |
Logical, if |

`legend.pos` |
Placement of the legend. One of |

`...` |
Further arguments. |

See `activeSetLogCon`

and `evaluateLogConDens`

for details on the computations.

Chosen plot is generated.

Kaspar Rufibach, kaspar.rufibach@gmail.com,

http://www.kasparrufibach.ch

Lutz Duembgen, duembgen@stat.unibe.ch,

http://www.imsv.unibe.ch/about_us/staff/prof_dr_duembgen_lutz/index_eng.html

Duembgen, L, Huesler, A. and Rufibach, K. (2010). Active set and EM algorithms for log-concave densities based on complete and censored data. Technical report 61, IMSV, Univ. of Bern, available at http://arxiv.org/abs/0707.4643.

Duembgen, L. and Rufibach, K. (2009).
Maximum likelihood estimation of a log–concave density and its distribution function: basic properties and uniform consistency.
*Bernoulli*, **15(1)**, 40–68.

Duembgen, L. and Rufibach, K. (2011)
logcondens: Computations Related to Univariate Log-Concave Density Estimation.
*Journal of Statistical Software*, **39(6)**, 1–28. http://www.jstatsoft.org/v39/i06

1 | ```
## See help file of function "logConDens".
``` |

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