summary.dlc: Summarizing log-concave density estimation

In logcondens: Estimate a Log-Concave Probability Density from Iid Observations

Summarizing log-concave density estimation

Description

summary method for class "dlc".

Usage

## S3 method for class 'dlc'
summary(object, ...)

Arguments

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

Details

See activeSetLogCon and evaluateLogConDens for details on the computations.

Value

The function summary.dlc returns a list of summary statistics of the estimated log-concave density as well as of its smoothed version (depending on the value of smoothed when calling logConDens).

Warning

Note that the numbering of knots in the output relies on the vector of unique observations.

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. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.18637/jss.v039.i06")}

Examples

## See help file of function "logConDens".

logcondens documentation built on Aug. 22, 2023, 5:06 p.m.