plot.lcd: Plot Log-concave Density

In cnmlcd: Maximum Likelihood Estimation of a Log-Concave Density Function

Description

Plot method for class "lcd".

Usage

## S3 method for class 'lcd'
plot(x, data, w=NULL, log=FALSE, col="blue", knotcol=col, 
   border="grey", lwd=1, pch=1, main, breaks=50, ...)

Arguments

x	an object of class "lcd".
data	a numeric vector storing the observations.
w	frequencies or weights for the values in x. If NULL, w = 1 is used for each value in x.
log	logical, indicating if the log density plot is to be plotted instead.
col	color of lines.
knotcol	color of knots.
border	color for the border of histogram or log histogram.
lwd	line width.
pch	point type used for knots.
main	main title.
breaks	number of break points used for creating histogram or log-histogram.
...	further arguments passed to or from other methods.

Details

Either the density or its logarithm is plotted, depending on the value of log. Knots are shown in circles. If data is provided, the plot also includes a histgram or log-histogram for data.

Author(s)

Yu Liu <[e-mail]>, Yong Wang <[e-mail]>

References

Liu, Y. and Wang, Y. (2018). A Fast Algorithm for Univariate Log-concave Density Estimation. Australia & New Zealand Journal of Statistics (To appear).

See Also

cnmlcd, lcd, new.lcd, dlcd.

cnmlcd documentation built on May 1, 2019, 10:55 p.m.