plot.dlc {logcondens}

Standard plots for a dlc object

Description

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.

Usage

## S3 method for class 'dlc'
plot(x, which = c("density", "log-density", "CDF"), 
    add.title = TRUE, legend.pos = "topright", ...)

Arguments

x

An object of class "dlc", usually a result of a call to logConDens.

which

One of "density", "log-density", or "CDF".

add.title

Logical, if TRUE adds a standard title to the plot.

legend.pos

Placement of the legend. One of "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right", "center"; or "none" for not displaying a legend. See legend for details.

...

Further arguments.

Details

See activeSetLogCon and evaluateLogConDens for details on the computations.

Value

Chosen plot is generated.

Author(s)

Kaspar Rufibach, [e-mail],
http://www.kasparrufibach.ch

Lutz Duembgen, [e-mail],
https://www.imsv.unibe.ch/about_us/staff/prof_dr_duembgen_lutz/index_eng.html

References

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 https://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. doi:10.18637/jss.v039.i06

Examples

## See help file of function "logConDens".